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Stellenangebote

Scientific Software Engineer oder Entwickler*in (m/w/d) mit Schwerpunkt Datenmodellierung/Webservices

Die Senckenberg Gesellschaft für Naturforschung (SGN) wurde 1817 gegründet und zählt zu den wichtigsten Forschungseinrichtungen rund um die biologische Vielfalt. An den elf Standorten in ganz Deutschland betreiben Wissenschaftlerinnen und Wissenschaftler aus über 40 Nationen modernste Forschung auf internationaler Ebene. Hauptsitz der Gesellschaft ist die Mainmetropole Frankfurt im Herzen Deutschlands. Hier befindet sich auch eine der bekanntesten Senckenberg-Einrichtungen, das Senckenberg Naturmuseum.

Wir suchen zur Verstärkung unseres Entwicklungsteams für Virtual Data Collections ab sofort am Standort Frankfurt

eine*n Scientific Software Engineer oder Entwickler*in (m/w/d) mit Schwerpunkt Datenmodellierung/Webservices (Vollzeit/Teilzeit)

Link zum Stellenangebot: https://www.senckenberg.de/de/karriere/fachkraefte/#content-0004_3 

Population genomics of structural variants and transposable elements in the perennial plant Arabis alpina

A postdoctoral position in plant population genetics and genomics is available under the supervision of Dr. Andrea Fulgione. The project is on the population genomics consequences of the evolution of mating strategies in the perennial plant Arabis alpina. The successful candidate will work on long-reads genome assemblies and pangenome graph, and use population genetics methods to study the evolution of transposable elements and structural variants. Further, in the group we have developed a large-scale collection of NGS whole- genome sequences, which can be used to further develop this project.

Candidates should hold a Ph.D. degree in a relevant field, preferably in genomics, population genetics, evolutionary biology, or bioinformatics. Experience in genome assembly, pangenome analyses, population genetics, bioinformatics, and/or plant sciences will be preferred. We strive to increase the proportion of women in science, so qualified women are particularly encouraged to apply for this position.

Please send your application in English to Andrea Fulgione (E-Mail: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!), using as subject: “Application for postdoc position PRMS246”. Include in the application your CV, a letter of motivation and research interests, relevant certificates (e.g., degree certificates) and the name, contact and affiliation of 2-3 referees. Please send your application documents until the 31th of March 2023. The position is available as soon as a fitting candidate is found.

Contact: Dr. Andrea Fulgione, Max Planck Institute for Plant Breeding Research (MPIPZ), Department of Plant Developmental Biology, Cologne, Germany.

Two PhD Positions - Biodiversity Computing Group - Crete

There are two PhD positions with competitive salaries (approx. 80% of a full TVL-13 position) available in Prof. Alexandros Stamatakis' (Heidelberg Institute for Theoretical Studies & KIT) new, second research group (https://www.biocomp.gr/) that is currently being set up at the Institute for Computer Science of the Foundation for Research and Technology Hellas in Heraklion, Crete.

The group is funded under the auspices of the EU ERA chair program. We are looking for computer scientists, Bioinformaticians or "programming Biologists".

If you want to do research where other people spend their vacations the Biodiversity Computing Group is the place to be.

To apply please follow one of the two links below: https://www.ics.forth.gr/jobs?lang=en job-ID: ICS-2010 

or

https://euraxess.ec.europa.eu/jobs/78854    

For inquiries please send an email to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! 

Postdoctoral fellow – Computational Biology (Genetic Interactions in Cancer)

The UCD Cancer Data lab are currently looking to recruit computational biology postdocs. We are a supportive and collaborative interdisciplinary research group based in the Conway Institute in University College Dublin. We are broadly interested in understanding how mutations in cancer alter molecular interaction networks and in identifying ways to target these alterations therapeutically. We have a particular interest in identifying genetic interactions in cancer and understanding how they influence tumour genome evolution. You can read more about areas of specific research interest here: https://cancerdata.ucd.ie/research/ 

The ideal candidate for these roles will have good programming and analytics skills and prior experience in the use of data-integration approaches to understand biology. Prior experience of cancer biology or genetic interactions is a plus, but certainly not a prerequisite for the roles.

Full details on the role are available at: https://cancerdata.ucd.ie/vacancies/ 

Bioinformatician / Computer Scientist as software developer for automated Flow Cytometry analysis (m|f|d)

Wir bei Miltenyi Biotec verstärken unser Team und suchen einen BioinformatikerIn / Computer WissenschaftlerIn als SoftwareentwicklerIn für automatisierte Durchlusszytometrie Analysen (m/w/d). Dies beinhaltet die Verantwortung für die Entwicklung von Software Modulen in Python für automatisierte Durchflusszytometrie Analysen von Blut- und Zellproben aus zellulärer Immuntherapie.

Für mehr Informationen, bitte diesem Link folgen: https://short.sg/j/29418091 

We at Miltenyi Biotec are strengthening our team and are looking for a Bioinformatician / Computer Scientist as software developer for automated Flow Cytometry analysis (m|f|d). This includes the responsibility for developing software modules in python for automated flow cytometric analysis of blood and cell samples from cellular immunotherapy.

For more information, please see following link: https://short.sg/j/29418091 

PhD position in plant population genetics and genomics

Population genomics consequences of mating system variation in the perennial plant Arabis alpina

A PhD position in plant population genetics and genomics is available under the supervision of Dr. Andrea Fulgione. The project is on the population genomics consequences of the evolution of mating systems and reproductive strategies, using the perennial plant Arabis alpina as a model. The successful candidate will work on long-reads genome assemblies and use population genetics methods to study the evolution of transposable elements and structural variants. Further, in the group we have developed a large-scale collection of NGS whole-genome sequences, which can be used as an additional resource for this project.

Candidates should hold a MS degree (or equivalent), preferably in Evolutionary Biology, Quantitative Biology, Bioinformatics or Plant Sciences. Experience in assembling genomes, population genetics, bioinformatics, and/or plant sciences will be preferred. Curiosity and an interest in learning new topics is essential. We strive to increase the proportion of women in science, so qualified women are particularly encouraged to apply for this position.

Please send your application in English to Andrea Fulgione (E-Mail: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!), using as subject: “Application for PhD position PRMS245”. Include in the application your CV, a letter of motivation and research interests, relevant certificates (e.g., degree certificates) and the name, contact and affiliation of 2-3 referees. Please send your application documents until the 31th of March 2023. The position is available as soon as a fitting candidate is found.

Contact: Dr. Andrea Fulgione, Max Planck Institute for Plant Breeding Research (MPIPZ), Department of Plant Developmental Biology, Cologne, Germany.

Postdoc Position - Integrative Immunogenetics

Open Postdoc position - (bio)informatician, biochemist, molecular biologist, (bio)statistician (f,m,d) - TV-L E13, 100%

The Biomedical Informatics and Genetic Phenotype Redefinition of Phenotypes Research Group (Prof. Dr. rer. nat. David Ellinghaus), Institute of Clinical Molecular Biology (IKMB), Kiel University (CAU) and University Medical Center Schleswig-Holstein (UKSH), Kiel, Germany, is seeking a postdoctoral researcher with background in statistical epidemiology and/or machine learning (ML) for genomic Big Data studies in biomedicine.

Our focus is on the application and development of new methods and software to create a new molecular genetic atlas for chronic inflammatory diseases and to achieve improved (re)classification of patients for personalized prevention, lifestyle or therapy recommendations.

We are closely associated with the Department of Computer Science of Kiel University, the Comprehensive Center for Inflammation Medicine (CCIM) and the DFG-funded Competence Centre for Genomic Analysis (CCGA) Kiel and are part of the DFG-funded Cluster of Excellence “Precision Medicine in Chronic Inflammation” (PMI). This collaboration has already resulted in over 100 mostly high-level publications with and by our working group.

Start in our Team
Join our research team as soon as possible and start as a postdoctoral researcher with a 3-year contract.

What we offer:
• Competitive salary based on the German E13 TV-L (100%), subject to fulfillment of the requirements under collective bargaining law. • An excellent and exciting multidisciplinary team-oriented research environment and opportunities to being part of the national and international scientific community. • Support by our Genomics and Bioinformatics Core Facility and training opportunities. • Flexible working hours and various options for balancing work and family life. • We stand for equal opportunities and promote the integration of people with disabilities. Our equal opportunity measures include individual financial support for you as a Postdoc to promote your scientific career.

Tasks:
• You will develop and apply novel bioinformatics approaches to perform genetic-molecular studies to identify causative genes and alleles that drive disease development in disease-relevant cells and tissues. You will use genomic data from large patient collectives in combination with other omics data and data from clinical information systems. • You will assist us in the training of medical life science and/or computer science students.

You have:
• University degree (MSc.) and a PhD in bioinformatics, computer science, biochemistry, molecular biology, statistics, or a closely related field. • Solid knowledge of statistical epidemiology/genetics, machine learning, and/or data mining techniques from your time as a PhD student/postdoctoral researcher. • Good programming skills in R and/or Python or a similar programming language. • Strong English writing and communication skills and the ability to work as part of a team.

We look forward to receiving your complete application, including a cover letter, detailed curriculum vitae and copies of bachelor and master’s degree certificate with grades, PhD certificate, names and addresses of two references until 29.03.2023 Please quote the tendernumber 21246 in your application.

https://jobs.uksh.de/job/Kiel-Postdoc-Position-IKMB-Integrative-Immunogenetics-Schl-24105/907003801/

Biostatistician / Bioinformatician (f/m/d) – Proteomics Biostatistician / Bioinformatician (f/m/d) – Proteomics

NEOsphere Biotechnologies has a highly sophisticated data analysis platform on high performance computing servers to identify novel, therapeutic targets. It utilizes a tailor-made framework of interactive R/Shiny apps to control and schedule individual computational processes and to analyze results and review the outcome.

We are looking for a highly motivated, scientifically minded candidate who enjoys creative problem solving to join our biostatistics/bioinformatics team.

Your key responsibilities
• In an open exchange with the entire team, you will perform statistical analyses of high-throughput proteomics data to drive knowledge gain for us and for our partners • You will be able to apply and expand our integrated target discovery engine to support discovery of the next generation of drugs • You will develop new tools to address new challenges • Working closely with an interdisciplinary team, you will tackle scientific questions at the forefront of drug discovery • You will be involved in communicating complex biostatistics / bioinformatics concepts and results to your colleagues from diverse backgrounds as well as to our partners

Your ideal qualifications
• Master’s or PhD degree in computational biology, biostatistics, bioinformatics, or a related field. • Strong Programming skills in scripted languages, particularly R or similar. • Experience with the R/Shiny framework and high-performance compute server usage. • Working experience in industry or biological context, and the ability to analyze proteomics and/or transcriptomics data. • Experience in the use of classical statistical inference methods and modern concepts, such as Bayesian statistics and machine learning is desirable. • Excellent interpersonal communication skills and the initiative to actively communicate with data producers and data users in an interdisciplinary environment. • Professional language skills in English – both written and spoken. Our offer • A vibrant and exciting professional environment with an open culture and community spirit • A diverse, international workforce with a dynamic work environment that encourages creativity, innovation, and teamwork • An attractive compensation package. Salary and grade will be evaluated based on the applicant’s degree and professional experience • Please mail your application (resume and cover letter with earliest possible start date and salary requirements) to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

We are looking forward to your application! https://neospherebiotechnologies.com/career 

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/

Doktorandin/Doktorand (d/m/w)

Naturwissenschaftliche Doktorarbeit im Projekt "BioInf" innerhalb der Fakultät Angewandte Informatik.

Durchführung einer kooperativen naturwissenschaftlichen Promotion in Kooperation mit der Universität Erlangen-Nürnberg. Das Thema der Promotion lautet: "Molekulare Mechanismen unterschiedlicher Transkriptionsaktivität der AP-1-Faktoren c-Jun, Fra-1 und ATF-2, und deren funktionelle Bedeutung im malignen Melanom - BioInf". Zur Vorstellung und Diskussion der eigenen Ergebnisse besuchen Sie nationale und internationale Kongresse. Des Weiteren lehren Sie im Bereich der biomedizinischen Datenanalyse und unterstützten bei Laborpraktika.

Sie bringen ein abgeschlossenes wissenschaftliches Hochschulstudium (Diplom Uni/ Master) der Bioinformatik oder bioinformatischem Schwerpunkt mit. Sie verfügen über Erfahrung im Bereich der biomedizinischen Datenanalyse sowie über umfangreiche Kenntnisse im Bereich molekulare Biologie, Pathologie und in der Next Generation Sequencing Methodik. Des Weiteren haben Sie Erfahrungen mit Linux/UNIX, Python sowie R und haben Interesse an Machine Learning.

Darüber hinaus besitzen Sie sehr gute Deutsch- und Englischkenntnisse. Eine selbstständige und proaktive Arbeitsweise sowie Teamfähigkeit, hohe Motivation zur Forschung und Neugierde runden Ihr Profil ab.

Zum Stellenangebot: https://bmgmt.th-deg.de/apply.php?site=apply_job_offer_show&job_offer=1705 

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