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Stellenangebote

Senior Staff Scientist in Computational Systems Biology

The position will support research and teaching activities in the Computational Systems Biology group, a new research group in the Department of Biosciences of the University of Salzburg. The group is led by Nikolaus Fortelny and focuses on developing advanced computational methods to ask novel and exciting questions about biological systems, building on multi-omics (epigenomics, transcriptomics, proteomics) and single-cell data.
(Google Scholar profile: https://scholar.google.com/citations?user=IHjaqgkAAAAJ).

The contract (40h/week) is initially limited to 4-years, followed by an evaluation for permanent employment (tenure). The city of Salzburg is ranked among the top 25 small cities (MONOCLE magazine), with ample natural and cultural attractions as well as fast connections to Vienna and Munich. The University of Salzburg has 18 000 students, and a highly collaborative research environment in both biology and computation.

Responsibilities:
• Analysis of multi-omics and single-cell data sets
• Development of methods at the interface of network biology and machine learning
• Development of databases and software packages
• Teaching, supervision of internships, co-supervision of theses
• Maintenance of the computing infrastructure
• Assistance with the organization of conferences, websites, science communication
• Support with publications and grant writing

Requirements:
• Relevant doctoral degree (bioinformatics, computational biology, or related fields)
• Publication experience in Computational and Systems Biology
• Considerable experience with statistical analysis of -omics data sets
• Extensive knowledge of the programming languages such as R or Python
• Profound understanding of biological and biomedical concepts
• Excellent English skills, German is expected within a reasonable time frame

Additional relevant experience:
• Integrative analysis across multi-omics and single-cell data
• Network biology and mathematical models of biological systems
• Machine learning, data science, advanced statistics

Enthusiastic computational scientists with a strong motivation for asking systematic questions in biology are encouraged to apply. Please send your motivation letter (one to max. two pages), CV, and names of three reference contacts to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!, providing the reference number “GZ A 0080/1-2020” in the subject line.

Deadline: September 23rd 2020.

We look forward to hearing from you!

RESEARCH ASSOCIATE for computational Systems Biology

The Center for Data and Computing in Natural Sciences (MIN Faculty) which is currently being formed invites applications for a RESEARCH ASSOCIATE for computational Systems Biology. Further information can be found here.

Research associate for the project “Bioinformatic Profiling of Written Artefacts”

As a University of Excellence, Universität Hamburg is one of the strongest research universities
in Germany. As a flagship university in the greater Hamburg region, it nurtures innovative,
cooperative contacts to partners within and outside academia. It also provides and promotes
sustainable education, knowledge, and knowledge exchange locally, nationally, and
internationally.
The Cluster of Excellence “Understanding Written Artefacts: Material, Interaction and
Transmission in Manuscript Cultures” invites applications for a

 

RESEARCH ASSOCIATE FOR THE PROJECT
“Bioinformatic Profiling of Written Artefacts”
- SALARY LEVEL 13 TV-L -

 

The position in accordance with Section 28 subsection 3 of the Hamburg higher education act
(Hamburgisches Hochschulgesetz, HmbHG) commences on November 1, 2020.
This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor
contract act (Wissenschaftszeitvertragsgesetz, WissZeitVG). The term is fixed for a period of
3 years. The position calls for 75 % of standard work hours per week**.

 

Responsibilities:

Duties include academic services in the project named above. Research associates may also
pursue independent research and further academic qualifications and project results may be
used in the context of doctorate.

 

Specific Duties:

Research in the frame of the project “Bioinformatic Profiling of Written Artefacts”. The position
includes the enrolment in the Cluster's graduate school and requires participation in research
colloquia, lecture series and workshops, as well as active engagement in the Cluster's research
activities.

 

Requirements:

A university degree in a relevant field. For example: (Bio-)informatics, mathematics, physics,
food chemistry, chemistry or biology. Other requirements are:

• Programming skills in R (or in a similar programming language like Python or Matlab)
• Experience with the analysis of scientific data
• Willingness and ability for independent and interdisciplinary scientific work
• Fluent English, written and spoken
• Strong organizational and communications skills, good team spirit
• Knowledge about bioinformatic approaches and experience with sequence-based
methods is an advantage.

 

Qualified disabled candidates or applicants with equivalent status receive preference in the
application process.

For further information, please contact Prof. Dr. Stephan Seifert
(Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!) or consult our website at
www.written-artefacts.uni-hamburg.de.

Applications (in English) should include a cover letter, a tabular curriculum vitae, and copies
of degree certificate(s). Please send applications by September 2, 2020 to:
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!.

Please do not submit original documents as we are not able to return them. Any documents
submitted will be destroyed after the application process has concluded.

Links:

https://www.uni-hamburg.de/uhh/stellenangebote/wissenschaftliches-personal/exzellenzcluster-uwa/02-09-20-342-en.pdf

Hector Research Career Development Award für NachwuchswissenschaftlerInnen

In 2020 wird der Hector Research Career Development Award (Hector RCD Award) erstmals ausgeschrieben: Mit dem Hector RCD Award verfolgt die Wissenschaftsakademie HFA das Ziel, die wissenschaftliche Karriere von ForscherInnen aus den Natur- und Ingenieurwissenschaften sowie der Medizin oder Psychologie an einem wichtigen Punkt ihrer Karriere zu fördern und zu unterstützen.

Anforderungen

·         W1-JuniorprofessorInnen (mit und ohne Tenure Track) sowie NachwuchsgruppenleiterInnen

·         Forschung in den Bereichen MINT, Medizin oder Psychologie

·         Die exzellente Promotion liegt nicht länger als 7 Jahre zurück

·         Anstellung an einer deutschen Universität oder einer vergleichbaren Forschungseinrichtung, die den Antrag unterstützt

·         Inhaltliche oder formelle Befähigung, DoktorandInnen zu betreuen

Award-Ausstattung

Der Award wird an 3-5 WissenschaftlerInnen vergeben, von denen mindestens 50 Prozent weiblich sein werden. Der Award ist wie folgt dotiert:

·         Einmalzahlung in Höhe von 25.000 € zur Unterstützung der Forschung

·         Materialausstattungsbudget in Höhe von 9.500€ pro Jahr

·         Finanzielle Förderung einer Promotionsstelle (vgl. DFG-Richtlinien)

·         Awardees werden für eine Laufzeit von fünf Jahren als Mitglied in der Hector Fellow Academy (HFA) aufgenommen und profitieren von dem interdisziplinären Netzwerk für Spitzenforschung, u.a. ist es möglich, sich für weitere Förderformate zu bewerben

 

Für weitere Informationen besuchen Sie unsere Webseite oder nehmen Sie Kontakt mit unserem Program Manager Stefanie Peer auf: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

 

Links: www.hector-fellow-academy.de/hector-rcd-award.html

Tenure-Track position (CR): Machine Learning for Biology and Medicine at the Centre for Computational Biology (CBIO)

The Centre for Computational Biology (Mines ParisTech, Paris) seeks a tenure-track researcher with PhD and postdoc experience in Machine Learning and/or Statistics and a strong interest for biomedical/life sciences applications. The successful candidate will work in a team of 4 permanent researchers on exciting applications in computational biology, including genomics, drug discovery and bioimage informatics. The candidate will also have the opportunity to develop their own line of research for which they will supervise and/or co-supervise PhD students and Postdocs, and apply for funding. The candidate will contribute to the scientific animation in their field of research at CBIO, Mines ParisTech and Institut Curie. Non-French speaking candidates are also welcome. The position is a 3-year tenure track and intended to become a permanent position.

Links: http://cbio.mines-paristech.fr/pdf-files/tenure-track-position-cr-machine-learning-for-biology-and-medicine

Postdoctoral Researcher Position (FSU Jena, Cluster of Excellence), Modelling of Lung Microbiome

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

Postdoctoral Researcher Position (Ref. No. 062020)

to conduct research in the group of Prof. Stefan Schuster on the project

Modelling and computer simulation of multipartite lung microbiome systems

 

We expect:

• A Ph.D . (or equivalent) in Bioinformatics, Systems Biology, Computer Science, Microbiology, Theoretical Ecology or related disciplines. Candidates in the final stages of obtaining their doctorate are also eligible to apply

• Desirable methodological skills: Mathematical modelling of biological systems, basics in computer programming, cooperation with experimentalists.

• Highly motivated individuals with an interest in joining one of the interdisciplinary research areas of the Microverse Cluster

• The ability to work creatively and independently towards developing your own research project

• An integrative and cooperative personality with enthusiasm for actively participating in the dynamic Microverse community

• English communication skills, both written and spoken

 

We offer:

• A highly communicative atmosphere within an energetic scientific network providing top-level research facilities•A comprehensive mentoring program and soft skill courses for early career researchers

• Jena – City of Science: a young and lively town with a vibrant local cultural agenda

 

The two year full-time postdoctoral researcher position (100% TV-L E13) will be funded through the Excellence Strategy of the German federal and state governments. The Friedrich Schiller University Jena is an equal opportunity employer and part-time contracts can be discussed. Disabled persons with comparable qualifications will receive preferential status.Applications are exclusively accepted via the JSMC Online Application Portal:

https://apply.jsmc.uni-jena.de/

Please familiarize yourself with the currently available postdoctoral projects (www.microverse-cluster.de) and the application process as described in the Online Application Portal. Selected applicants will be invited to a recruitment meeting taking place in September. Awarding decisions will be announced shortly thereafter, and candidates are expected to be available to start their projects in autumn/winter of 2020.

 

Application deadline: 31st of August 2020

 

Principal Investigator (m/f/d) in Computational Biology

We are looking for a Principal Investigator (m/f/d) in Computational Biology to establish a competitive independent research group embedded in the multidisciplinary and collaborative environment of the CCRI, which provides many opportunities for interaction with other research groups and institutions. As a Principal Investigator at the CCRI, you strengthen our excellent research team, which focuses on the development and research of innovative approaches for the treatment of childhood cancer. This position offers a unique opportunity to actively contribute to a multidisciplinary competence center for pediatric oncology.

 

 

 

As a Principal Investigator, you will

 

·         Lead a competitive independent research group

 

·         Develop your ambitious ideas and perform innovative medically-inspired research

 

·         Use state-of-the-art computational biology approaches to tackle current challenges in pediatric cancer research

 

·         Participate actively and further develop our processes of selecting excellent postdoctoral fellows and PhD candidates, teaching activities and supervising junior staff

 

·         Participate in regular institute meetings and our weekly scientific seminars

 

·         Cooperate closely with institutes in close proximity, jointly constituting the biomedical research hub of Vienna

 

·         Maintain a close cooperation between our research institute and the St. Anna Children’s hospital

 

 

 

Your profile

 

·         PhD-level (or equivalent) with postdoctoral research experience and a track record of scientific excellence documented by publication and funding track records

 

·         Scientific excellence of an independent research program in the area of computational biology with a potential for clinical translation

 

·         Enthusiastic about developing your ambitious ideas and perform innovative medically-inspired independent research

 

·         Proactive team player who enjoys working across disciplines and within an international team of excellent scientists

 

·         Excellent management skills, high social competence and organizational skills

 

 

 

Our offer

 

·         Initial five-year contract with the perspective of extension and tenure

 

·         Opportunity to become part of the CCRI faculty, lively scientific exchange and collaborations, and access to a broad national and international network of scientific and clinical collaborations

 

·         Competitive startup package including a fully equipped laboratory, your Principal Investigator salary, a budget for consumables, facility services in-house and through our collaborating institutes within Vienna, and travel

 

·         Access to a state-of-the-art infrastructure environment

 

·         Support in formulating your most competitive grant ideas (including ERC), and securing additional renowned national and international third-party funding

 

·         A meaningful, inspiring, and international environment in an outstanding working atmosphere

 

·         Flexible working hours, discounted lunch in our canteen and other benefits

 

·         Great location in the center of Vienna, a capital of biomedical research in Europe with excellent quality of life 

 

 

 

Your application

 

 

 

Please send your application via email to our Scientific Director Kaan Boztug, Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! until 16th of September 2020. Applications should contain the following documents:

 

·         Curriculum Vitae (including full publication list)

 

·         List of up to five most important publications with a short comment explaining the relevance of the paper and your contribution

 

·         Funding track record and /or funding plan

 

·         Names and contact details of at least three references

 

·         Synopsis of your research interests and planned research program including how you and CCRI could mutually profit from each other

 

 

 

 

Links: https://science.ccri.at/job-openings/principal-investigator-m-f-d-in-computational-biology/

 

PHD POSITION IN BEHAVIOURAL ECOLOGY AND BIOINFORMATICS (M/F/D)

Reference number 215/2020
PHD POSITION IN BEHAVIOURAL ECOLOGY AND BIOINFORMATICS (M/F/D)
Fixed term of three years 65% of a full-time position
Planned remuneration: salary group E13 TV-L
The Faculty of Life Sciences, Institute of Biology, Department of Behavioural Ecology, seeks to fill the above position at the earliest opportunity.
The goal is a scientific qualification (doctorate) in the area of the research focus of the professorship: evolution of social behaviour in primates. The work programme will focus on assessing the impact of realized relatedness on primate sociality using whole genome sequencing. The position is funded by the German Research Foundation (DFG) as part of the 2nd DFG sequencing call. The study will concern one of the best-studied primate populations in the world, the rhesus macaque population of Cayo Santiago, Puerto Rico, and will combine genomic and phenotypic data. The genomic part will be done at the Cologne Center for Genomics, with the bioinformatic analysis supported by the Nowick (Bioinformatics Solution Center and Free University Berlin) and the Stadler group (Leipzig University). The genomic data will be linked to comprehensive phenotypic data collected within the framework of earlier studies. The work is planned in collaboration with an international, highly interdisciplinary team working on primate behaviour, evolution and genomics. We are looking for a highly motivated, analytical and innovative candidate. We offer a stimulating scientific environment in a highly collaborative team, with state-of-the-art technology and individually tailored supervision.


Job description:
- Scientific collaboration in a DFG-funded project for the purpose of a doctorate
- Analysis of sequencing data of the whole genome (WGS) of macaques
- Determination of relatedness coefficients (e.g. IDB and ROH)
- Analysis of WGS data in combination with comprehensive phenotypic data, including data from long-term observations, demographic data and field experiments
- Literature research on WGS data and kin recognition in primates
- Publication of the results


Requirements:
- Master of Science or equivalent degree in bioinformatics or biology with good background in bioinformatics
- Very good knowledge or interest in evolutionary biology and/or behavioural ecology
- Solid background in multivariate statistical analyses in R
- Very good written and spoken English
- Independence, commitment and ability to work in a team
- Good communication skills


Please send your application, quoting reference number 215/2020, with a detailed CV, a brief statement of research experience and interests, and two reference letters (or names and contact information of two referees) to
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!


Leipzig University
Faculty of Life Sciences
Professor Anja Widdig
Talstraße 33
04103 Leipzig, Germany


by no later than 31 August 2020.


Please note that applying by email is not entirely secure and may pose a privacy risk. The sender assumes full responsibility.
Severely disabled persons are encouraged to apply and will be given preference in the case of equal suitability.
Privacy information
The personal data contained within your application documents or obtained during the interview will be processed exclusively for the purposes of the selection process for the position advertised. The legal basis for such data processing is Section 11(1) of the Saxon Data Protection Implementation Act (Sächs DSDG) in conjunction with the EU General Data Protection Regulation (GDPR). The controller for the application process within the meaning of the GDPR is the addressee of the application, as specified in the respective advertisement. When processing your application, your personal data will be passed on within Leipzig University to
- members of the selection committee
- the human resources management teams
- the Commissioner for Equal Opportunities
- the Disability Officers and
- if necessary, the Staff Council
as part of their organisational or statutory responsibilities.
Your personal data will be erased no later than six months after completion of the selection process. In accordance with the GDPR, subject to the relevant statutory requirements you have the following rights vis-à-vis the addressee of the application with regard to your personal data: right of access (Art. 15 GDPR); right to rectification of inaccurate personal data (Art. 16 GDPR); right to erasure (Art. 17 GDPR); right to restriction of processing (Art. 18 GDPR); and right to object to processing (Art. 21 GDPR). If you have any questions, please contact the Data Protection Officer at Leipzig University (office: Augustusplatz 10, 04109

 

PhD project: Computational HTSeq-analysis of B-cells

We are one of the youngest universities in Germany and think in terms of
possibilities, not limitations. In the heart of the Ruhr region, we
develop ideas of the future at our 11 faculties. We are strong in
research and teaching, live diversity, support potential and are highly
committed to an educational equality that has earned this name.

The University Duisburg-Essen (Campus Essen), offers a position at the
Faculty of Biology, Research Group Bioinformatics and Computational
Biophysics as:
PhD-student
(65% part-time, salary equivalent TV-L 13)

Activities and responsibilities:
The successful applicant will work in a collaborative project on B cell
differentiation in the germinal center reaction and the resulting memory
B cell compartment in humans.

The focus will be on computational analyses of HTSeq data, specifically:
- analysis of scRNAseq data and HTSeq data of B-cell receptor repertoires
- probabilistic modeling and Bayes inference

The applicant will participate in the BIOME graduate school.

Qualification profile:
- at least 8 semesters of successful studies with a Master in
Bioinformatics, Biostatistics, Computational Biology, Biology or similar.
- solid background in bioinformatics and statistics (probabilistic
modeling, Bayes inference)
- familiarity with processing and analysis of HTSeq database
- very good programming skills, esp. with R
- knowledge of the biological background (B cells)
- good communication skills (incl. ability of writing and speaking
scientific english) and team working abilities

We offer:
- participation in cutting edge research project
- interesting job in an excellent team
- supplementary training opportunities
- sports and health offers (university sports)

Send application to
Applications (including a letter of motivation and a CV with contact
information of two references) and inquiries with reference code
jv-473-20 should be addressed by e-mail to: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!,
Universität Duisburg-Essen.

Wissenschaftliche*n Mitarbeiter*in (m/w/d) für Promotion oder Postdoc in Computational Pan-Genomics

Die Digitalisierung der Biomedizin und des Gesundheitswesens ist eine der
treibendsten Herausforderungen unserer Zeit. Die Erstellung, Weiterentwicklung
und Implementierung von Methoden, Werkzeugen und Software zur Unterstützung und
Verbesserung der modernen Biologie und Medizin ist daher eines der wichtigsten
Forschungsthemen an den Schnittstellen von Data Science und Computational
Biology. Die im Januar 2020 gegründete Gruppe „Genome Data Science“ (Lehrstuhl:
Prof. Dr. Alexander Schönhuth) wird den Schwerpunkt auf verwandte Themen der
rechnergestützten biomedizinischen Forschung legen. Die Forschung der Gruppe
wird zur Big-Data-Analyse und -Management, zu modernen
Hochdurchsatztechnologien, zum (effektiven und sicheren) Einsatz künstlicher
Intelligenz in der rechnergestützten personalisierten Medizin beitragen,
beispielsweise zur Optimierung von Therapiestrategien und zur Auswahl von
Behandlungsoptionen sowie zur Entwicklung und Implementierung von Mathematik
und Computertechniken, die den Zwecken der modernen Biomedizin dienen. Wir
suchen derzeit eine*n hochmotivierte*n Doktorand*in oder Postdoktorand*in für
unsere Gruppe. Die Arbeitssprache ist je nach persönlicher Präferenz Englisch
oder Deutsch. 

Das Profil aller erforderten Tätigkeiten umfasst:
 - Forschungstätigkeiten(75%)
 - DurchführungvonLehrveranstaltungen(20%)
 - MitarbeitinderakademischenSelbstverwaltung(5%)

Die entsprechenden Forschungs- und Publikationstätigkeiten beziehen sich
entweder auf das Gebiet der Computational Pan-Genomics oder der künstlichen
Intelligenz in der Biomedizin. Besondere Beispiele für mögliche Forschung sind:
 - Erstellungund Analyse neuartiger algorithmischer/mathematischer Strukturen
   und Indizes, die die Kartierung der genetischen Vielfalt ganzer Populationen
   unterstützen
 - Erstellungund Implementierung von Programmierrahmen, die die Analyse der
   genetischen Vielfalt von Krankheiten unterstützen
 - Entwicklung und Design von Pan-Genom-Darstellungen für
   Deep-Learning-Analysen
 - Entwicklung und Design von Architekturen für tiefe neuronale Netze zur
   Analyse von Multi-Omics-Datensätzen
 - Aufbau tiefer Netzwerkarchitekturen, um Vorhersagen aus diesen Darstellungen
   abzuleiten

Das genaue Thema kann im Rahmen von individuellen Diskussionen erarbeitet
werden. Für weitere Informationen, insbesondere bezüglich des 
Bewerbungsprozesses, siehe [LINKS]


LINKS: 

“Job announcement” https://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/Anzeigen/Wiss/wiss20171_englisch.pdf 
“Stellenausschreibung” https://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/Anzeigen/Wiss/wiss20171.pdf




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