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Scientist (m/f) "(Bio-)Informatics / cloud computing" [Bochum]

The Department Bioinformatics of the Medizinisches Proteom-Center
offers a job position for a scientist (m/f) in the field "(Bio-)Informatics / cloud computing".

Activities:
•    Adoption / further development of scientific analysis software in the field ‚Bioinformatics for Proteomics‘ for the usage in cloud infrastructures (e. g. de.NBI-cloud)
•    Support in the establishment of scientific cloud infrastructures (e. g. authentication and authorization infrastructure service, resource distribution / governance)
•    Technical support of scientists in applying analysis software in the cloud

Job profile:
You have knowledge and / or experience in the following fields of Computer Science / Bioinformatics:
•    Administration of Linux operating systems, Linux script-programming
•    OpenStack
•    Distributed computing and Virtualisation

Preferable are knowledge and interest in:
•    Administration of Windows operating systems
•    authentication and authorization infrastructure systems
•    Bioinformatics of Proteomics
•    Bioinformatics algorithms / analysis software for high-throughput- / Omics data
•    Object oriented programming (e. g. Java, C++)

Details can be found here (in German):
https://www.stellenwerk-bochum.de/jobboerse/wissenschaftl-mitarbeiterin-bio-informatikerin-bio-informatiker-bo-2017-09-08-139523 
http://tinyurl.com/yc27nlfv

Two Bioinformaticians (f/m) for clinical research unit [Münster]

The new DFG Clinical Research Unit ‘Male Germ Cells: from Genes to Function’ (CRU326) investigates in translational projects human male germ cell function in health and disease at the genetic, epigenetic, and molecular level.

The Clinical Research Unit consists of clinicians and basic researchers from the local Centre of Reproductive Medicine and Andrology, Department of General Paediatrics, Institutes of Human Genetics, Cell Biology, and Medical Informatics, and the Max-Planck-Institute of Molecular Biomedicine.

More information on the Clinical Research Unit and projects can be found under:
http://www.male-germ-cells.de

In a joint project, the groups of Prof. Frank Tüttelmann, Institute of Human Genetics, and Prof. Martin Dugas, Institute of Medical Informatics are seeking two postdocs to start at the earliest opportunity on a 3 year funded period with the possibility for extension.

Two Bioinformaticians (f/m)
Ref.: 13644

Full-time (100%)
Employment is funded at 100% of TV-L E14, conditional to previous experience and qualifications

The project entitled “Coordination and integrated analysis of OMICs data” focuses on the identification of epi-/genetic changes associated with male infertility. The project will be conducted in a strong translational setting, in which clinicians, scientists and bioinformaticians are working together closely and involve next-generation sequencing techniques and bioinformatics.

Required qualifications:

  • University degree (required) in Bioinformatics or Medical Informatics (PhD level desired),
  • experience in analyses of Next Generation Sequencing data (required),
  • excellent programming skills (required) in at least one language (ideally R and Java desired),
  • fluency and excellent communication skills in English (and German) (required),
  • strong commitment to research and development in a translational setting (required).

We offer:

  • the setting of an interdisciplinary Clinical Research Unit
  • an international, multidisciplinary, and creative working environment,
  • state-of-the-art research facilities (e.g. High Performance Computing capacity),
  • excellent possibilities for career development and networking.

For further information please contact:
Prof. Frank Tüttelmann, phone: +49 251 83 55411 or e-mail frank.tuettelmann(at)­ukmuenster(dot)­de or
Prof. Martin Dugas, phone: +49 251 83 55262 or e-mail martin.dugas(at)­ukmuenster(dot)­de.

Applications including a short summary of your research background (max. 1 page), CV and publication list, and a letter of recommendation of your scientific supervisor should be sent with reference number via email in one pdf-file until 22.09.2017 to bewerbung(at)­ukmuenster(dot)­de.

Applications from female candidates are particularly encouraged. In the case of equal qualifications, competence and specific achievements, women will be considered on preferential terms within the framework of the legal possibilities unless reasons specific to an individual male candidate predominate. Handicapped candidates with equal qualifications will be given preference.


Links: http://www.male-germ-cells.de

Postdoc Position in Evolutionary Genomics [Max Planck Institute, Dresden]

The Research Group “Computational Biology and Evolutionary Genomics” at the Max Planck Institute in Dresden, Germany has a Postdoc opening.
 
Project description:
The postdoc will utilize numerous sequenced mammalian genomes to discover the genomic basis of repeatedly evolved phenotypic differences. By focusing on natural phenotypes that resemble human diseases, we aim at connecting basic evolutionary with translational research to identify novel genes associated with genetic disorders. The postdoc will apply and further develop our genomics methods, and analyze the results by integrating biomedical knowledge and functional genomics data. Promising candidate genes will be tested experimentally, either by the Postdoc or in collaboration. The Postdoc will work closely with other members of the lab and our institute on the computational and experimental aspects. Funding is according to the German TVöD scale.
 
Our group:
We combine computational biology, comparative genomics and experiment to investigate how nature's fascinating phenotypic diversity evolved and how it is encoded in the genome. On the computational side, we generate high-quality genome alignments, apply comparative methods to discover key differences in genes and regulatory elements, and use statistical approaches to associate genomic to phenotypic differences. On the experimental side, we use RNA-seq, ATAC-seq, functional assays and CRISPR-Cas9 to reveal the molecular function of genomic regions and to test causality between genomic and phenotypic differences.
 
Our group is located at the Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) and we are jointly affiliated with the Max Planck Institute for the Physics of Complex Systems (MPI-PKS), both in Dresden. Both institutes are highly interactive and interdisciplinary workplaces, provide an international atmosphere with English as working language and access to cutting-edge computational and experimental infrastructure and facilities. The MPI-CBG was awarded one of the “Best Places To Work for Postdocs” in 2011.
 
Requirements:
Applicants with a background in both computational and biological sciences are encouraged to apply. 
Applicants with a computational background should have a strong interest in integrating experiments in their research and a desire to deeply understand the biology underlying mammalian phenotypes and human disease. Applicants with a biological background should be experienced in using text file processing tools in a Linux shell environment and should have good programming skills, for example in a scripting language. Excellent communication skills and a strong publication record is expected. Previous experience in large-scale genomic data analysis is an advantage. 
 
How to apply:
If interested, please email (i) your CV including publication list and contact information for at least two references and (ii) a summary of previous research experience (max 1 page) to Michael Hiller (This email address is being protected from spambots. You need JavaScript enabled to view it.).


Links: 
Further information: https://www.mpi-cbg.de/hiller

Wissenschaftliche/r Mitarbeiter/in Ingenieurinformatik / Bioinformatik / Angewandte Mechanik

Das Institut für Bioprozess- und Analysenmesstechnik e. V. ist ein außeruniversitäres Forschungsinstitut des Freistaates Thüringen. Im Rahmen des Forschungsprofils „Biotechniques at Interfaces“ werden Projekte zu technischen Systemen für die Lebenswissenschaften bearbeitet, bei denen Wechselwirkungen zwischen der biologischen und technischen Komponente dieser Systeme eine besondere Rolle spielen.

Vorzugsweise ab dem 01.10.2017 ist die folgende Stelle in Vollzeit neu zu besetzten: Wissenschaftliche/r Mitarbeiter/in Ingenieurinformatik / Bioinformatik / Angewandte Mechanik

Nach erfolgreicher Einarbeitung sind Sie verantwortlich für die selbstständige Bearbeitung von Forschungs- und Entwicklungsprojekten im Bereich der Programmierung von Softwaresystemen und deren Anpassung an die gestellten Anforderungen. Wesentlicher Bestandteil der Arbeiten bildet der Entwurf, die Umsetzung und die Testung von numerischen Algorithmen, Routinen und  Programmen für das Design und die Optimierung von humanen lasttragenden Knochenimplantaten. Von Interesse sind daher profunde Kenntnisse der Programmiersprachen C, C++ und FORTRAN, der Optimierung von Bauteilen mit Hilfe genetischer / evolutionäre Algorithmen sowie der Auslegung von neuronalen Netzen zur Entscheidungsfindung.

Erforderlich sind Erfahrungen im Bereich der Programmierung und numerischen Mathematik. Von Vorteil sind darüber hinaus Kenntnisse auf dem Gebiet der Finite-Elemente-Methode (FEM) zur Modellierung und Simulation komplexer Systeme, der theoretischen und experimentellen Mechanik sowie Grundkenntnisse in der Biomechanik.

Sie verbinden Flexibilität und Eigeninitiative mit einer teamorientierten, wissenschaftlichen Arbeitsweise bei der Erarbeitung von anwendungsorientierten Problemlösungen im Rahmen von Forschungsprojekten. Wir bieten Ihnen dafür ein attraktives und abwechslungsreiches Betätigungsfeld in einer interdisziplinären und engagierten Forschungsgruppe. Die Möglichkeit zur Promotion ist gegeben. Die Stelle wird nach TV-L vergütet und ist nach derzeitiger Bewilligungslage zunächst bis zum 30.09.2020 befristet. Vorgesehen ist bei entsprechender Eignung die Weiterbeschäftigung in weiteren Projekten. Für weitere Informationen steht Ihnen der Leiter des Fachbereiches Biowerkstoffe Herr Prof. Dr. Liefeith (This email address is being protected from spambots. You need JavaScript enabled to view it.) gern zur Verfügung.

Unser Institut ist bestrebt, die Anzahl der wissenschaftlichen Mitarbeiterinnen zu erhöhen. Die Bewerbung von Frauen ist daher ausdrücklich erwünscht. Bei gleicher Eignung und Erfüllung der o.g. Anforderungen werden Bewerber mit einer anerkannten Behinderung gemäß § 2 SGB IX bevorzugt berücksichtigt.

Ihre ausführliche Bewerbung mit den üblichen Unterlagen richten Sie bitte mit dem Betreff „Bioinformatiker/-in K06/2017“ bis zum 31.08.2017 an:

Institut für Bioprozess- und Analysenmesstechnik e.V.
Rosenhof
37308 Heilbad Heiligenstadt
This email address is being protected from spambots. You need JavaScript enabled to view it.

www.iba-heiligenstadt.de]

Bioinformatics Postdoc @ Roche (NGS, Machine learning, Antibody)

Postdoctoral Research Fellow Bioinformatics/ Biostatistics in the
environment of machine learning on antibody NGS data (m/f)

The jobholder will work in the environment of two departments within
Pharma Research and Early Development (pRED): in the wet-lab
laboratories of Large Molecule Research at Roche Penzberg, Antibody
Next Generation Sequencing (NGS) data will be generated and in the Data
Science group of pREDi Penzberg these data are processed, analyzed and
visualized. In doing so, you will be using profound and state-of-the-
art bioinformatics/biostatistics, data analysis, data integration, and
data visualization methods. One key element of the antibody
characterization project, which you will own, is the in silico
prediction of specific antibody properties to foster the lead
identification process within the discovery units.

This position requires the application and development of data
analytics solutions based on machine learning, statistical analysis or
mathematical and predictive modelling techniques to allow project teams
to draw scientific conclusions from large-scale antibody NGS data.


Key responsibilities include, but are not limited to the following
tasks:

- You will work as a bioinformatics/biostatistics researcher (m/f)
within Roche Pharma Research, developing machine learning approaches
for binding properties prediction. Furthermore you will get the unique
opportunity to validate your findings by wet-lab experiments.
- Other key responsibilities comprise the development of data analysis
and prediction algorithms on antibody NGS data by the application of
appropriate machine learning techniques
- It will be your responsibility to cooperate both with wet lab
scientists and data scientists to generate and analyze antibody NGS
data
- The publication of results belongs to your tasks and will be
supported


Who you are

You’re someone who wants to influence your own development. You’re
looking for a company where you have the opportunity to pursue your
interests across functions and geographies. Where a job title is not
considered the final definition of who you are, but the starting point.
- You hold a PhD in bioinformatics or a related relevant field
- In addition, you have excellent programming skills with knowledge of
at least one of the following programming languages: Java, Matlab, R or
similar
- You are experienced in working with next generation sequencing data,
favorably antibody datasets
- We can trust in your experience with statistics, machine learning
including deep learning and/or data mining
- Your knowledge on bioinformatics data integration and large-scale
data analysis is up-to-date
- You have a solid background in protein biology, especially antibody
biology
- Basic knowledge of protein structure is essential and antibody
modeling experience is of advantage
- You are able to perform standard wet-lab experiments with guidance
and you are eager to learn new techniques
- You can prove your scientific excellence with a number of
publications
- You are well known for your strong team spirit and your willingness
to work in international teams
- In addition you are interested to work interdisciplinary and you are
ready to learn and explore new fields
- Excellent English skills, written and spoken, complete your profile

This position is limited to a timeframe of two years.


Link: http://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-3409739846

Postdoc in Systems Genetics in the Gagneur lab [TU Munich]

RESPONSIBILITIES

We seek a talented and motivated post-doc to develop computational methods for identifying regulatory genetic variants influencing the risk of common diseases. Research topics include: integration of rare and common regulatory effects on expression level and isoform choices, modeling of rare regulatory variants using deep learning based mechanistic models, and analysis of the role of cryptic splicing in common diseases. The developed methods will be applied to cardiovascular disorders in collaboration with Prof. Heribert Schunkert, Head of the German Heart Center, and to schizophrenia, in collaboration with Dr. Michael Ziller, group leader at the Max Planck Institute of Psychiatry.

The position is funded for 2 years. The salary is according to the TV-L (German academic salary scale).

REQUIREMENTS

Candidates must either hold a PhD in computational biology or bioinformatics, or hold a PhD in physics, statistics, or applied mathematics with practical experience in high-dimensional data analysis. Experience in quantitative genetics is a plus. Applicants must have a proven publication record and an interest for translational research.

ABOUT US

The Gagneur lab is interested in how gene expression is encoded in genomes, and how to leverage this knowledge to understand the basis of genetic diseases. To this end, we employ statistical modeling of ‘omics data and work in close collaboration with experimentalists. Relevant recent work includes establishing RNA-sequencing as a powerful companion to genome sequencing for genetic diagnosis of Mendelian disorders [1], modeling of RNA metabolism from sequence [2, 3], and deep learning modeling of cis-regulatory elements [4].

We are located at the faculty of informatics of the Technical University of Munich. The TUM together with other excellent research institutions in Munich offer a dynamic, interactive and international research environment. With plenty of cultural attractions, green areas, and the proximity of the Alps, Munich provides a superb quality of life.

References
[1] Kremer et al. Genetic diagnosis of Mendelian disorders via RNA sequencing, Nature communications, 2017
[2] Eser. et al, Determinants of RNA metabolism in the S. genome, Mol. Syst. Biol., 2016
[3] Schwalb et al. TT-seq maps the human transient transcriptome, Science, 2016
[4] Avsec et al., CONCISE: Convolutional Neural network for CIS-regulatory Elements, https://github.com/gagneurlab/concise and http://www.biorxiv.org/content/early/2017/07/18/165183

HOW TO APPLY

Applications including a cover letter, CV, and references must be sent to Julien Gagneur (This email address is being protected from spambots. You need JavaScript enabled to view it.) until September 15th 2017.


Julien Gagneur
Associate professor of Computatonal Biology
Faculty of Informatics
Technical University of Munich

www.gagneurlab.in.tum.de
Twitter: @gagneurlab

Phd Candidate/Postdoctoral position in Single Cell Computational Epigenomics [RWTH Aachen]

The Bioinformatics Group RWTH Aachen University performs research on computational methods for analysis of epigenomics and transcriptomics data. Over the past years, we have developed methods for prediction of cell specific binding sites from open chromatin data (Gusmao et al., Bioinformatics, 2015; Nature Methods, 2016), inference of regulatory networks driving cell differentiation (Lin et al., NAR, 2015; Allhoff et al., Bioinformatics, 2015) and prediction of long noncoding RNA regulation via DNA-RNA interaction (Kalwa et al., NAR, 2016).

We invite applicants for a Phd Candidate/Postdoctoral position in one of the following topics:

1) Machine learning methods for the analysis of single cell epigenomics data.

2) Sequence analysis algorithms for detection of interactions of long non-coding RNAs with DNA.

Candidates will perform research on methods for analysis of single cell epigenomics and transcriptomics scATAC-Seq, scRNA-Seq and scBS-seq. These projects will be performed in collaboration with stem cell and medical specialists from the RWTH Aachen University.

Applicants should hold a M.Sc./Ph.D. in Bioinformatics or Computer Science. Experience in the analysis of biological sequences, regulatory genomics and/or machine learning is required. The candidate should have solid programming skills (C, Python and/or R) and acquaintance with Linux. Experience with high performance computing is a plus. The working language of the group is English.

 Interested candidates should send a brief statement of research interests, CV and the names of three references to This email address is being protected from spambots. You need JavaScript enabled to view it..

 The Bioinformatics Research Group (costalab.rwth-aachen.de) is supported by the Interdisciplinary Center for Clinical Research Aachen (IZKF) and hosted by the Institute for Biomedical Engineering, Department of Cell Biology, RWTH Aachen University Hospital and the Helmholtz Institute for Biomedical Engineering, RWTH Aachen.

 

Computational Biologist / Bioinformatician ( Charité Universitätsmedizin Berlin)

The Pediatric Oncology Reseach Institute of the Department of Pediatric Hematology, Oncology and SCT at the Charité – Universitätsmedizin Berlin is a multidisciplinary research institute closely affiliated to the Helmholtz Institute, Max Delbrück Center for Molecular Medicine (MDC) and the Berlin Institute of Health (BIH).

The goals of the research group of Prof. Johannes Schulte are an improved understanding of tumor biology and development of new therapeutic options for neuroblastoma, a highly devastating childhood cancer.

Investigating primary and relapse tumors as well as tumor model systems, we seek to identify key factors of tumor pathogenesis, tumor progression and tumor evolution. The research strategy of our interdisciplinary team includes multi-omics and wet lab approaches. Concepts identified in high-throughput analyses are validated in vitro and in vivo. To this end, we use cell culture model systems, patient-derived tumor xenografts and genetically engineered mouse models. Furthermore, we participate in major European Systems Biology consortia for generating and analyzing high-throughput sequencing data.

We are looking for a computational biologist / bioinformatician to develop and apply new analytical approaches for the study of neuroblastoma genomics. This research position is embedded into an interdisciplinary team of clinicians, biologists, biotechnologists and bioinformaticians and into the dynamic intellectual environment of the Charité and the BIH. The successful applicant will 1) set up analytical pipelines for diagnostic targeted resequencing, 2) plan and perform analyses within neuroblastoma research projects, 3) structure and manage high-throughput data 4) support existing collaborations with other bioinformatics groups (e.g. Nils Blüthgen, Uwe Ohler, Altuna Akalin, Dieter Beule). In collaboration with these groups, the applicant will be able to pursue his/her own bioinformatics research projects.

Prerequisites

The ideal candidate has a Master's (MSc) or PhD degree in computer science, computational biology, bioinformatics, statistics or any other quantitative discipline and proven experience in the analysis of next-generation sequencing data.

Moreover, the candidate should have excellent programming skills for data analysis, preferably in R, and be familiar with Bash scripting and one other scripting language such as Perl/Python. In-depth knowledge of applied multivariate statistics and data visualization techniques are also required.

An advanced knowledge of tumor biology and a publication track record of genomics-based oncology research are highly desirable.

Excellent communication and project management skills as well as the motivation for a long-time commitment in our department are a requirement.

Conditions

The position is open from August 2017. Salary will be according to the Charité internal tariff TV-C E13 with regular working time of 39 h per week. The initial contract will be until 31st of July, 2019 with the option of extension depending on extramural funding resources. The Charité – Universitätsmedizin Berlin is an equal opportunity employer and supports gender equality. Persons with disabilities will be preferred if equally qualified. The Charité cannot reimburse any incurring travel expenses.

Please, submit your application by email, including a cover letter describing your interests, a current CV, and 2-3 letters of recommendation, by August 13, 2017, to Prof. Johannes Schulte and Dr. Joern Toedling (This email address is being protected from spambots. You need JavaScript enabled to view it. and This email address is being protected from spambots. You need JavaScript enabled to view it.) and indicate the registration number DM.127.17.

Machine Learning in BioMedicine (ERC-funded postdoc position) [CeMM]

 We are recruiting a computational postdoc who wants to pursue groundbreaking research on digital medicine, combining a strong background in machine learning with cutting-edge technologies such as single-cell sequencing, wearable devices, ubiquitous sensors, and augmented reality, and a keen interest in biomedical applications.

Our group is based at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, on the campus of one of the world’s largest hospitals and medical schools. We combine a strong background in computational methods with the expertise, collaborations, and funding to pioneer the use of advanced digital technology in biotechnology and personalized medicine.

The Project

The successful candidate will develop and apply advanced machine learning technology (e.g., deep neural networks, kernel methods, non-linear regression, and/or causal modeling) in order to discover fundamental mechanisms of biology and medicine and to advance personalized medicine. Potential applications may include (but are not limited to) single-cell sequencing of cancer, 3D reconstruction of tumors and epigenetic landscapes, mobile health technology for patients with brain cancer, and pattern discovery in heterogeneous biomedical datasets. Our location on one of the largest medical campuses in Europe ensures direct relevance to medicine, while our close collaboration with the Max Planck Institute for Informatics (Germany) provides first-hand access to a cutting-edge computer science environment.

The Candidate

We are looking for highly motivated and academically outstanding candidates who want to pursue a career in machine learning research and its applications in biology and medicine. Candidate should have a strong background in the quantitative sciences (computer science, bioinformatics, statistics, mathematics physics, engineering, etc.). We will also consider applicants with a background in medicine or in biology (e.g., functional genomics, chemical biology, human genetics, molecular medicine, etc.) who have strong quantitative skills and a keen interest in pursuing computational projects with a major machine learning component.

The Lab (http://epigenomics.cemm.oeaw.ac.at/)

The Medical Epigenomics Lab at CeMM pursues an interdisciplinary and highly collaborative research program aimed at understanding the cancer epigenome and establishing its utility for precision medicine. The lab is internationally well-connected and active in several fields:

- Epigenomics. Many diseases show widespread deregulation of epigenetic cell states. As members of the International Human Epigenome Consortium, we use epigenome sequencing to dissect the epigenetic basis of cancer and immune disorders.
- Technology. Groundbreaking biomedical research is often driven by new technologies. Our lab is therefore heavily invested into technology development, including single-cell sequencing, CRISPR screens, and epigenome editing.
- Bioinformatics. New algorithms and advanced computational methods allow us to infer epigenetic cell states from large datasets, in order to reconstruct the epigenetic landscape of cellular differentiation and complex diseases.
- Diagnostics. New technologies (genome sequencing, mobile devices, etc.) provide important information for personalized medicine. We develop and validate assays and algorithms for translating the value of digital medicine into routine clinical practice.

The Principal Investigator (https://scholar.google.com/citations?user=9qSsTcIAAAAJ)

Christoph Bock is a computational biologist and principal investigator at CeMM. He is also a guest professor at the Medical University of Vienna’s Department for Laboratory Medicine, scientific coordinator of the Biomedical Sequencing Facility at CeMM, and an adjunct group leader for bioinformatics at the Max Planck Institute for Informatics. Christoph Bock obtained his PhD summa cum laude from Saarland University and the Max Planck Institute for Informatics in 2008, followed by three years of postdoctoral research at the Broad Institute of MIT and Harvard, where he contributed to the NIH Roadmap Epigenomics project. He has been a principal investigator of BLUEPRINT (in the International Human Epigenome Consortium), and he co-founded Genom Austria, a citizen science project that is the Austrian partner in the International Network of Personal Genome Projects. He has received several major research awards, including the Max Planck Society’s Otto Hahn Medal (2009), a New Frontier Group grant by the Austrian Academy of Sciences (2015-2020), an ERC Starting Grant (2016-2021), and the Overton Prize of the International Society of Computational Biology (2017).

 The Institute (http://www.cemm.at/)

CeMM is an international research institute of the Austrian Academy of Sciences and a founding member of EU-LIFE. It has an outstanding track record of top-notch science (last five years: >10 papers in Nature/Cell/Science/NEJM, >25 papers in Nature/Cell sister journals) and medical translation. With just over a hundred researchers, CeMM provides a truly collaborative and personal environment, while maintaining critical mass and all relevant technologies. Research at CeMM focuses on cancer, inflammation, and immune disorders. CeMM is located at the center of one of the largest medical campuses in Europe, within walking distance of Vienna’s historical city center. A study by “The Scientist” placed CeMM among the top-5 best places to work in academia world-wide (http://the-scientist.com/2012/08/01/best-places-to-work-academia-2012). Vienna is frequently ranked the world’s best city to live. It is a United Nations city with a large English-speaking community. The official language at CeMM is English, and more than 40 different nationalities are represented at the institute. We are convinced that diversity and a multicultural work environment are clear advantages for successful research and are committed to attract, develop, and advance the most talented individuals regardless of their gender, sexual orientation, religion, age, disability status or any other dimension of diversity.

 Please apply online (https://cemm.jobbase.io/job/2ikdvm1m) with cover letter, CV, academic transcripts, and contact details of three referees. Applications will be reviewed on a rolling basis. Any application received by 31 August 2017 will be considered. Start dates are very flexible.

 

2 Promotionsstellen am Zentrum für Bioinformatik Hamburg

Am Zentrum für Bioinformatik Hamburg (ZBH), Abteilung AMD (Prof. Rarey), sind ab dem 1. Oktober 2017 zwei Promotionsstellen zu besetzen. Forschungsschwerpunkt der Gruppe liegt in der Entwicklung neuer Methoden in den Bereichen Chemieinformatik, Wirkstoffentwurf und strukturelle Bioinformatik und deren Anwendungen. Wir zeichnen uns durch eine anwendungsnahe Forschung aus, die wir durch vielfältige Industriekontakte und -kooperationen stärken. Softwarekomponenten aus unserer Forschung werden weltweit in der akademischen und industriellen Forschung eingesetzt. Als Bio- oder Chemieinformatiker, naturwissenschaftlicher Informatiker oder Chemiker mit guten Programmierkenntnissen sind Sie bei uns genau richtig.

Nähere Informationen finden Sie unter http://www.zbh.uni-hamburg.de/service/stellen.html