Deprecated: Required parameter $options follows optional parameter $loglevels in /mnt/web116/a2/77/56981777/htdocs/joomla_02/libraries/rokcommon/RokCommon/Logger/Joomla.php on line 33 Deprecated: Required parameter $category follows optional parameter $loglevels in /mnt/web116/a2/77/56981777/htdocs/joomla_02/libraries/rokcommon/RokCommon/Logger/Joomla.php on line 33 Fachgruppe Bioinformatik - Stellenangebote

ISCB Affiliated Group Logo

Stellenangebote

Sandwich-PhD in Chemo-Informatics / Bio-Infomatics / Computational Chemistry

Sandwich-PhD in Chemo-Informatics / Bio-Infomatics / Computational Chemistry

Within the framework of the GLACIER DAAD network, an eight-month-residence research scholarship (with possibility of prolongation for the following years) is to be awarded at one of Germany's top research institutions at IPB Halle in cooperation with Charité Berlin on the topic: "Chemoinformatic Survey of Bioactive Central-American Natural Products". The successful candidate will have a keen interest in generating tools for the extraction and analysis of scientific data, i.e. a basic knowledge of informatics, programming (e.g. in Python), text and data mining, analytical tools including ML- or AI-based methods, and ideally also in chemistry, pharmacy, medicine, botany or a related subject. However, informatics students interested to venture into medicinal chemistry related scientific applications are also highly welcome. We expect you to communicate in English and participate in GLACIER events (conferences, trainings, summer schools).
The earliest start date of the fellowship is 01.03.2022, the latest 01.05.2022. Eligible persons are only students or employees of the GLACIER consortium member institutions in Central America or Cuba (for details on eligible countries see our webpage: https://glacierproject.org/ ). Remuneration will be paid according to the scholarship award regulations of the DAAD (1.200 €/months plus flight costs in economy class).

About GLACIER
GLACIER - German-Latin American Centre of Infection & Epidemiology Research & Training is a large network encompassing 35 partners in total including leading higher education institutions, research institutes and public stakeholders from eight Latin American countries as well as eight institutions from Germany. GLACIER represents the fusion of the Berlin-led research on pandemiology, and the Halle-led research on immunology and bioactive compounds and five additional expert groups from Germany. Central GLACIER real labs are located at UNAM, Mexico City, and the University of Havana, Cuba. In close partnership, these scientific institutions follow a holistic "One Health" approach for research, training and public outreach. Various disciplines - from virology, vaccine development and drug discovery research to social sciences - cooperate with national and international institutions involved in preventive health care, vaccine and drug discovery, and pandemic control. GLACIER is funded by the German foreign Office (AA) through the German Academic Exchange Service (www.daad.de). Thus, DAAD rules apply for all scholarships granted through GLACIER. The consortium issues student scholarships and research stays for scientists (north-south and south-north exchange) as well as exchange between central Latin-American partner countries (south-south exchange), including summer schools and on-site training courses.

Host: Leibniz Institute for Plant Biochemistry (IPB)
The Leibniz Institute for Plant Biochemistry (IPB) is a public top level research institute of the Leibniz Association. It is located on the Weinberg Campus of the Martin-Luther-University in Halle (Saale), Germany. The Department of Bioorganic Chemistry headed by Prof. Dr. Ludger Wessjohann focuses on the isolation, characterization and development of bioactive compounds and their selective targeting and release. This position will be seated in the computational chemistry subgroup. https://www.ipb-halle.de/en/research/bioorganic-chemistry/ For a lead publication in the field from our group see here: https://www.pnas.org/doi/10.1073/pnas.1915277117

https://www.ipb-halle.de/forschung/natur-und-wirkstoffchemie/

PhD student (m/f/d) in Computational Biochemistry (19/2022)

The Leibniz Institute of Plant Biochemistry in Halle (Saale), a research institute of the Leibniz Association, is offering a three-year position in the frame of a DFG-funded project for a:

PhD student (m/f/d) in Computational Biochemistry

starting from 01/03/2023 at the Department of Bioorganic Chemistry within the research group “Computational Chemistry”.

We are looking for a creative, curious, team-minded, and enthusiastic candidate to join our team to contribute to a project which will focus on the molecular dynamics (MD) and Quantum mechanics/Molecular mechanics (QM/MM) simulations of enzymes and proteins. The goal of project is to investigate enzymatic reaction mechanisms and catalysis using QM/MM molecular dynamics, and machine-learned potentials. The successful candidate has a keen interest and strong skills in theoretical and computational (bio)chemistry, (bio-)physics, computational enzymology, quantum chemistry and a strong interest in interdisciplinary research and collaboration with experimental groups (several partners in Germany and France).

The successful candidate must hold a PhD degree in computational (bio)chemistry or (bio)physics, or a closely related field and is supposed to have a solid command of English communications skills. Applicants should have a strong background in programming and scripting languages (Python or C/C++), Quantum chemistry packages (Gaussian, Tubomole, ORCA,...), molecular dynamics simulation packages (GROMACS or AMBER), QM/MM simulations (Chemshell,..). Prior experience with machine learning methods would be advantageous but not a prerequisite.

The IPB is an international research institute located on the Weinberg-Campus of the Martin-Luther-University Halle-Wittenberg and provides state-of-the-art facilities for research in high performance computing, plant biochemistry/proteomics, cell biology/imaging, and natural products chemistry/metabolomics. The Department of Bioorganic Chemistry offers a multinational, interdisciplinary, and highly stimulating scientific environment. Information about the research group and the IPB can be found on the homepage: https://www.ipb-halle.de/forschung/natur-und-wirkstoffchemie/

Please, contact Dr. Mehdi D. Davari (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!; Phone: 0049 (0) 345 5582 1360) for additional information.

Salary and excellent benefits (social and health insurance) will be based on German laws for employees in the public sector (TVL).

Applications must include a single pdf document via email attachment comprising a cover letter describing research accomplishments and interests, a CV plus publication list, academic transcripts (PhD, master, and bachelor), and contact details of 2-3 referees (or 2-3 recommendation letters). Please send your complete application documents including the reference number 19/2022 exclusively by email to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!. Applications will be reviewed on a rolling basis until the position is filled.

Please notice our data protection information for applicants (m/f/d) according to Article 13 and 14 GDPR concerning data protection processing in the application process: https://www.ipb-halle.de/en/career/data-protection-information-for-applicants/

The successful applicant with a degree that was not obtained at a German university must, if selected, submit a certificate assessment for foreign university qualifications (Statement of Comparability for Foreign Higher Education Qualifications) from the Central Office for Foreign Education (https://www.kmk.org/zab/central-office-for-foreign-education).

https://www.ipb-halle.de/en/career/job-vacancies/joboffer-detail/phd-student-mfd-in-computational-biochemistry-192022/

Wissenschaftliche/r Mitarbeiter/in (m/w/d) für das Fachgebiet Bioinformatik

Die Stelle ist im Rahmen des LOEWE-Forschungsschwerpunktes „Tree-M — Mechanismen der Resilienz und Umweltwirkung des Blattmikrobioms von Bäumen" in Vollzeit befristet bis zum 31.12.2026 an der Professur für Systembiologie (Prof. Dr. Alexander Goesmann) am Fachbereich Biologie und Chemie zu besetzen. Bei Vorliegen der tariflichen Voraussetzungen erfolgt die Vergütung nach Entgeltgruppe 13 TV-H.

Aufgaben:
• Wissenschaftliche Mit- und Weiterentwicklung der lokalen OpenBIS-Plattform zum Zwecke der Generierung einer integrierten Softwareumgebung für die Analyse und Visualisierung von Hochdurchsatzdaten, die im Rahmen des Tree-M Projekts generiert werden • Aktive Mitarbeit bei der vollständigen Neuentwicklung bzw. Portierung des Frontends der bestehenden OpenBIS-Installation. Dabei soll das System auch bezüglich grundlegender Funktionalitäten erweitert werden. Diese Erweiterungen beinhalten die Integration eines Konzepts zur Datenverschlüsselung und die Einbindung von Workflows zur automatisierten Datenverarbeitung. Dazu müssen diverse Anpassungen an der Portlet Funktionalität vorgenommen werden und alle Komponenten auf ihre Funktionsfähigkeit getestet werden. Die Entwicklung sollte basierend auf einem modernen reaktiven JavaScript Framework erfolgen und sich idealerweise direkt in die zentrale openBIS-Plattform als Plugin integrieren. • Eigenständige Weiterentwicklung einer Software-Plattform zur bioinformatischen Datenanalyse mit einem Schwerpunkt auf der Auswertung von Hochdurchsatz-Sequenzdaten, sowie die Anwendung und Weiterentwicklung bioinformatischer Methoden in der mikrobiellen Genomforschung • Selbständige Entwicklung und Implementierung von innovativen Methoden zur automatisierten Analyse bakterieller Genome, Metagenome und Transkriptome, sowie die Visualisierung und wissenschaftliche Aufbereitung der experimentellen Ergebnisse

Ihre Qualifikationen und Kompetenzen
•Abgeschlossenes wissenschaftliches Hochschulstudium in der Bioinformatik oder einem nah verwandten naturwissenschaftlichem Fach mit sehr guten informatischen Fachkenntnissen • Kommunikationsbereitschaft und Fähigkeit zur Teamarbeit • Hohe Bereitschaft zur selbständigen Einarbeitung in neue Technologien und zur Stärkung des eigenen Profils • Dokumentierte Erfahrungen in der Software-Entwicklung mit einem ausgeprägten Anwendungsschwerpunkt in der Entwicklung grafischer Nutzeroberflächen, vorzugsweise mit reaktiven JavaScript Frameworks • Weitreichendes Vorwissen im Bereich der Workflow-Managementsysteme (z.B. Snakemake, Nextflow, CWL) • Gute Programmiererfahrung im Team im Linux/Unix-Umfeld und hervorragende Kenntnisse in mindestens einer Programmiersprache (z.B. Python, Java, JavaScript, Perl, Groovy, ...) • Eigenständige Software-Entwicklung, Funktionstest und Dokumentation • Aktive Mitarbeit in nationalen und internationalen Projekten mit akademischen Kooperationspartnern • Englisch und Deutsch werden verhandlungssicher vorausgesetzt • Bereitschaft zur Publikation von Forschungsergebnissen in Fachjournalen und Präsentation auf internationalen Konferenzen

Unser Angebot an Sie
•Eine abwechslungsreiche Tätigkeit mit flexiblen Arbeitszeiten • Die kostenlose Nutzung des öffentlichen Personennahverkehrs (LandesTicket Hessen) • Mehr als 100 Seminare, Workshops und E-Learning-Angebote pro Jahr zur persönlichen Weiterbildung sowie vielfältige Gesundheits- und Sportangebote • Eine Vergütung nach TV-H, betriebliche Altersvorsorge, Kinderzulage sowie Sonderzahlungen • Die gute Vereinbarkeit von Familie und Beruf (Zertifikat „audit familiengerechte hochschule“

Für weitere Rückfragen steht Ihnen Herr Prof. Dr. Alexander Goesmann per E-Mail (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!) gerne zur Verfügung. Die JLU strebt einen höheren Anteil von Frauen im Wissenschaftsbereich an; deshalb bitten wir qualifizierte Wissenschaftlerinnen nachdrücklich, sich zu bewerben. Die JLU versteht sich als eine familiengerechte Hochschule. Bewerberinnen und Bewerber mit Kindern sind willkommen. Bewerbungen Schwerbehinderter werden bei gleicher Eignung bevorzugt. Sie wollen mit uns neue Wege gehen? Bewerben Sie sich über unser Onlineformular bis zum 23.02.2023 unter Angabe der Referenznummer 156/08. Wir freuen uns auf Ihre Bewerbung

Den direkten Link zur Ausschreibung auf der JLU-Homepage finden Sie unter: https://www.uni-giessen.de/karriere/stellenangebote/ausschreibungen/wissenschaftliche-mitarbeiter/156-08 

Bioinformatician

Overview
We are currently seeking a full- or part-time Bioinformatician* to support our R&D team to develop innovative immunotherapeutic products for next-generation cancer therapies. You will work in Tuebingen (Germany) in an interdisciplinary, global environment with colleagues from research and clinical departments. It is possible to work regularly from the home office. This is a permanent position.

Your mission
Your main responsibilities will include but are not limited to the following tasks: • Integrate life science data from various assays (e.g. RNA-Seq and mass spectrometry) into the Immatics’ target discovery database XPRESIDENT® • Extend our database and server infrastructure to enable Big Data acquisition and facilitate interactive analysis • Design, implement, and maintain web interfaces for our in-house database and laboratory information management system • Contribute to our in-house platform for data analysis that empowers our scientists to identify and validate targets for cancer immunotherapy • Create user requirement specifications to guide the development of our in-house laboratory information management system and our platform for data analysis • Analyse data from various assays with statistics or machine learning to support scientific decisions

Your profile
You hold an MSc degree in Bioinformatics or a related field. Ideally, you have gained insights into frontend, backend, and database development and Unix administration. You are familiar with at least one scripting language (Perl, Python, or similar). Knowledge of statistics, machine learning, R, mass-spectrometry, peptidomics, or RNA-Seq is an advantage. You are interested in maintaining high code quality and you take careful testing and documentation for granted. We expect a high degree of independent working, analytical reasoning, and good communication skills in English. Your motivation is driven by your passion for innovation and science and you are willing to extend your knowledge to support our scientists in developing new cancer immunotherapies.

Why us?
We are a committed and inspired team and cherish the collegial, highly motivated, and family-friendly atmosphere within Immatics. Our culture allows for a high level of originality, independent thinking, and initiative. We believe in supporting our employees’ professional and social skills: We enable them to join conferences and trainings as well as to enjoy our Immatics benefits – e.g., job bike, job ticket, Health Programs, childcare benefits, relocation allowance, Company summer and winter events.

Notice
*We value diversity and inclusion. Immatics N.V. and all Immatics subsidiaries are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.

About us
Immatics combines the discovery of true targets for cancer immunotherapies with the development of the right T cell receptors with the goal of enabling a robust and specific T cell response against these targets. This deep know-how is the foundation for our pipeline of Adoptive Cell Therapies and TCR Bispecifics as well as our partnerships with global leaders in the pharmaceutical industry. Operating from Tuebingen, Munich and Houston, we are committed to delivering the power of T cells and to unlocking new avenues for patients in their fight against cancer. For more detailed information, visit www.immatics.com.

Link Bewerbungsformular: https://immatics.jobs.personio.de/job/992023?_pc=604841#apply 

Full Stack Developer*

Overview
We are currently seeking a full- or part-time Full Stack Developer* (LAMP) to support our R&D team to develop innovative immunotherapeutic products for next-generation cancer therapies. You will work in Tuebingen (Germany) in an interdisciplinary, global environment with colleagues from research and clinical departments. It is possible to work regularly from the home office. This is a permanent position.

Your mission
Your main responsibilities will include but are not limited to the following tasks: • Integrate life science data from various assays (e.g., RNA-Seq and mass spectrometry) into the Immatics’ target discovery database XPRESIDENT® • Extend our database and server infrastructure to enable Big Data acquisition and facilitate interactive analysis • Design, implement, and maintain web interfaces for our in-house database and laboratory information management system • Contribute to our in-house platform for data analysis that empowers our scientists to identify and validate targets for cancer immunotherapy • Ensure software quality by maintaining and extending our DevOps toolbox, CI/CD pipelines, and documentation

Your profile
You hold an MSc degree in Computer Science, Bioinformatics, or a related field. Ideally, you have gained insights into frontend, backend, and database development and Unix administration. You are familiar with at least one scripting language (e.g., Perl, Python). Knowledge in MySQL database administration, user experience design, or Apache HTTP server is an advantage. You are interested in maintaining high code quality and you take careful testing and documentation for granted. We expect a high degree of independent working, analytical reasoning, and good communication skills in English. Your motivation is driven by your passion for innovation and science and you are willing to extend your knowledge to support our scientists in developing new cancer immunotherapies.

Why us?
We are a committed and inspired team and cherish the collegial, highly motivated, and family-friendly atmosphere within Immatics. Our culture allows for a high level of originality, independent thinking, and initiative. We believe in supporting our employees’ professional and social skills: We enable them to join conferences and trainings as well as to enjoy our Immatics benefits – e.g., job bike, job ticket, Health Programs, childcare benefits, relocation allowance, Company summer and winter events.

Notice
*We value diversity and inclusion. Immatics N.V. and all Immatics subsidiaries are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.

About us
Immatics combines the discovery of true targets for cancer immunotherapies with the development of the right T cell receptors with the goal of enabling a robust and specific T cell response against these targets. This deep know-how is the foundation for our pipeline of Adoptive Cell Therapies and TCR Bispecifics as well as our partnerships with global leaders in the pharmaceutical industry. Operating from Tuebingen, Munich and Houston, we are committed to delivering the power of T cells and to unlocking new avenues for patients in their fight against cancer. For more detailed information, visit www.immatics.com.

https://immatics.jobs.personio.de/job/992572?_pc=604841#apply 

PhD position - DFG-funded project - Bioinformatics - Study on CTCL

The University Duisburg-Essen invites applications for the position of a PhD Scientific Researcher in the Faculty of Biology, Bioinformatics and Computational Biophysics, starting 1st May 2023 (or as soon as possible thereafter).

Application deadline: 15th March 2023

The post belongs to a DFG-funded research project entitled „Reciprocal interaction of CTCL, the reactive infiltrate, and the lesional microbiome“.

More information: https://tinyurl.com/mrnzsssk 

https://www.uni-due.org/wp-content/uploads/2023/01/20230118_Aus_024_23_WMA_Biologie-Prof.-Hoffmann-Heckmann.pdf 

PhD student computational biology / bioinformatics (m/f/d) (fulltime)

The position will be hosted at the Institute of Human Genetics, in the workgroup "Regulatory Genomics" of Prof. Martin Kircher. The bioinformatics group performs research in the fields of sequence analysis, data mining, machine learning and functional genomics (https://kircherlab.github.io/). Our research focuses on computational approaches of identifying functionally relevant genetic changes in disease and adaptation as well as developing more sensitive methods in diagnostics (especially exome, genome and cell-free DNA sequencing). For example, we devise computational approaches (e.g. CADD, CADD-SV, ReMM) to score and identify functionally relevant genetic changes in the human genome. Understanding how gene regulation is encoded in our genomes across development and the diversity of cell-types is one of our fundamental research questions.

Start in our team:
The position is immediately available. The full-time contract will be issued for 3 years with the prospect of extension to finish the thesis work and related publications.

We offer:
• A collaborative research environment that encourages and supports scientific curiosity, innovation, and development of its team members • Training in computational biology and independent research • Receive guidance on PhD requirements and thesis work • Career development • Collaboration with internal and external partners • Participation in international meetings and scientific conferences • Salary based Full-time payment on the German E13 TV-L scale, if terms and conditions under collective bargaining law are fulfilled. This for example also includes 30 paid vacation days per year. • Flexible working hours and a family-friendly environment

Your responsibilities:
• Work on cutting-edge projects using state-of-the-art technology, • Analyze high-throughput sequencing data and develop custom computational tools, • Develop data standards and prepare data for analysis or computational modeling, • Develop or improve methods to infer disease and regulatory mechanisms, • Gain insights into the sequence encoding of molecular function and its relation to disease as well as epigenetic and 3D genome annotations, • Develop deep neural nets or classical machine learning models that integrate sequence features and molecular measures • Apply and improve methods for model interpretation, • Actively contribute to the lab, institute and international collaborations

Requirements:
• Master degree or equivalent in bioinformatics, computational biology or similar, alternatively in computer sciences with experience in molecular biology and large-scale data analysis • Basic knowledge of molecular biology, gene regulation and epigenetics • Highly skilled in a programming language such as Python, R, C++, or Java • Deep understanding of sequence analysis, statistical concepts and machine learning • Intermediate skills in an analysis environment like R or Python scipy/scikit learn • Prior experience with Unix, previous exposure to HPC environments is an advantage • Exposure to reproducible work and FAIR principles • Highly motivated to expand knowledge and develop innovative approaches • Diligent, goal-oriented and independent work attitude • Team-oriented with interdisciplinary communication skills • Very good English language skills

We are looking forward to your application. Please submit your application until 22.02.2023, indicating your earliest possible starting date as well as the reference number 21035. If you have any questions, do not hesitate to contact Prof. Martin Kircher: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! We live diversity and strongly encourage qualified female scientists to apply. UKSH and the University of Lübeck aim to increase the number of women among faculty and staff. Applications from people with an immigrant background who meet the hiring requirements are encouraged. Disabled candidates who are equally qualified will receive preference. https://jobs.uksh.de/job/L%C3%BCbeck-PhD-student-computational-biology-bioinformatics-%28mfd%29-%28fulltime%29-Schl-23538/895999501/ 

PhD Position in Genomics and Digital Health

We are searching for a highly motivated Ph.D. candidate (m/f/d) in the group of Senior Researcher Dr. H. O. Heyne situated at Hasso-Plattner-Institut for Digital Engineering.

# Objectives
- study genetic influences on epilepsy and other diseases - generate insights and tools with clinical relevance - work on genetic data (e.g. array or sequencing data) and clinical data (e.g. electronic health records) - gain expertise in quantitative/clinical genetics as well as statistical and analytical skills - learn to “science” independently including scientific writing, publishing and presentations - work with international collaborators (such as at the Finnish Institute for Molecular Medicine (University of Helsinki, FI), Hasso Plattner Institute for Digital Health at Mount Sinai (New York, US) and large international consortia) - teaching activities related to the Master course of “Digital Health” such as co-supervision of Master theses possible

# Qualifications
- graduated in (bio-)informatics, life science, statistical or related field - advanced programming skills are a plus (R/python, others) - ability to work well independently and in a team - commitment to transdisciplinary collaborative international research - excellent communication skills in English - experience with genetic and clinical data are a plus

# Work hours
- 40 hours per week

# Start date
- flexible

# Funding
- DFG

We are looking forward to receiving your application! Please send it including a motivation letter exclusively per Mail (PDF format) to: Henrike.Heyne(at)hpi.de.

Hasso-Plattner-Institut for Digital Engineering gGmbH
Hasso Plattner Institute Digital Health Center
Campus II
Rudolf-Breitscheid-Str. 187
14482 Potsdam

https://hpi.de/das-hpi/organisation/jobs/aktuelle-jobs/digital-health-center/phd-candidate-m-f-d.html 

PhD Position in Computational Proteomics (m/f/d)

We invite applications for a PhD position with a strong background or interest in bioinformatics, big data analytics, machine learning, applied mathematics and its application in computational proteomics. The successful candidate will become a key member of an ERC Starting Grant funded project called ORIGIN which aims to answer a fundamental question in biology: To which extent and prevalence are isoforms translated and functionally relevant.

While mass spectrometry-based proteomics is the de-facto standard for measuring proteomes, it is not good at identifying isoforms. Proteins, thus also isoforms, leave a deterministic multi-dimensional fingerprint in each proteomic measurement. The central goal is to discover and quantify protein isoforms systematically by a novel MS-based proteomics data analysis strategy that utilizes these fingerprints. Candidates therefore must have a strong interest in one or more of the following aspects:

Tap into the wealth of data the proteomics community has already amassed to train deep neural networks that allow the prediction of fingerprints. Implement an innovative data analysis strategy that utilizes the predictions to identify and quantify isoforms. Demonstrate that the novel approach can be used to address open questions in isoform-biology of varying biological and technical complexity. The main work duties of the PhD are in research and assisting in the supervision of bachelor and master-level scientist.

Full ad: https://www1.ls.tum.de/en/compms/job-offers/computational-proteomics-phd/ 

TU Munich
Professur für Computational Mass Spectrometry
Prof. Dr. Mathias Wilhelm
Maximus-von-Imhof-Forum 3
D - 85354 Freising

Postdoctoral Researcher Position in Correlative Image Data Analysis (m/f/d)

The Cluster of Excellence “Balance of the Microverse” at the Friedrich Schiller University Jena, Germany, combines expertise in life, material, optical and computational sciences to elevate microbiome studies from descriptive to hypothesis-driven and functional analyses. Our core mission is to elucidate fundamental principles of the interactions and functions in microbial communities in diverse habitats ranging from oceans and groundwater to plant and human hosts. We aim to identify the shared characteristics of disturbed or polluted ecosystems as well as infectious diseases on the microbiome level, and develop strategies for their remediation by targeted interventions. Our full spectrum of expertise in the physical and life sciences will be leveraged to address these important issues in natural habitats as well as synthetic arenas in a collaborative manner. The affiliated early career program of the Jena School for Microbial Communication (JSMC) offers an ambitious, structured and interdisciplinary post-graduate training based on top-level fundamental research.

The Cluster of Excellence Balance of the Microverse invites applications for a

Postdoctoral Researcher Position in Correlative Image Data Analysis (m/f/d)

commencing as soon as possible.

As the new member in the theoretical research group Applied Systems Biology, you will play a central role in the development of software tools for the quantitative analysis of data combining different imaging modalities. This project addresses the urgent need for advanced software tools to perform image analysis of big volume data that are generated in the Microverse Imaging Center (MIC) using microscopy and spectroscopy modalities in combination. The main goals of this project include the development of algorithms that are capable of performing correlative analyses as well as an environment, which enable application of these algorithms by any user not experienced in programming. To realize these goals, the software tools will be developed within the recently created visual programming language termed Java Image Processing Pipeline (JIPipe: www.JIPipe.org).

More information is avaliable on https://www.microverse-cluster.de/en/jobs.html?file=files/content/career/jobs/2023/Microverse_Postdoc_Figge_10-2022.pdf&cid=2289 

Wir nutzen Cookies auf unserer Website. Einige von ihnen sind essenziell für den Betrieb der Seite, während andere uns helfen, diese Website und die Nutzererfahrung zu verbessern (Tracking Cookies). Sie können selbst entscheiden, ob Sie die Cookies zulassen möchten. Bitte beachten Sie, dass bei einer Ablehnung womöglich nicht mehr alle Funktionalitäten der Seite zur Verfügung stehen.