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Bio-IT Computational Support & Training

EMBL is Europe’s flagship research laboratory for the life sciences – an intergovernmental organisation performing scientific research in disciplines including molecular biology, physics, chemistry and computer science. We are an international, innovative and interdisciplinary laboratory with more than 1600 employees from many nations, operating across six sites, in Heidelberg (HQ), Barcelona, Hinxton near Cambridge, Hamburg, Grenoble and Rome. 


Applications are invited for the above post to join the Gibson Team. The Gibson team develops and applies biological software tools in the analysis of protein data. An important activity of the group is to interface with experimental research groups at EMBL. The post-holder will be the focal point in providing bioinformatics support to the experimental researchers at EMBL. In this context, it is expected that the post-holder will organise a minimum of 4 bioinformatics/computational training courses per year.


Your role


The position is part of the EMBL Bio-IT project, a community-driven initiative to support the development and technical capacity of the diverse bio-computational community at EMBL. As one of the key members of this project, the post-holder will work closely with other members of Bio-IT to develop and/or organise various bioinformatics training courses, community-oriented outreach activities, community assessment tasks, and consulting. Through active communication and collaboration with many bioinformatics service experts at EMBL Heidelberg (e.g. the Computational Centres covering statistics, networks, image analysis, and systems models), the post-holder will help expand and maintain a lively network of bioinformaticians throughout the institute.

In addition, EMBL is a partner in the de.NBI (German Network for Bioinformatics Infrastructure) consortium which constitutes the ELIXIR Germany node. The post-holder will interact with individuals from de.NBI/ELIXIR to collaborate and jointly organise training and outreach activities. The post-holder will also have opportunities to attend and present at relevant conferences and events.

This is a highly collaborative role that provides diverse opportunities to engage with and support the scientific community while developing your own leadership skills. As well as being able to communicate and work well within a team, initiative, flexibility and willingness to learn will complete your profile.


You have

·         Ph.D. in Bioinformatics, Computational Biology, or related fields, or equivalent experience

·         Knowledge of a range of bioinformatics tools to provide support and training

·         Familiarity with one or multiple programming/scripting languages such as Bash, Python, R

·         Excellent communication and interpersonal skills

·         Experience of working at the interface between biology and computation

·         Experience in organising and teaching scientific/technical workshops

·         Interest in learning from other research communities of practices


Find more information and apply through our website.

Postdoc position “Modeling microbial communities of the Southern Ocean”

We are looking for a Post-Doc to work for 3 years in the research team of dr. Julia Engelmann in the department of Marine Microbiology and Biogeochemistry at the Royal Netherlands Institute of Sea Research on Texel (The Netherlands). The team applies bioinformatic and network biology approaches to marine marker gene, metagenomic and transcriptomic data. On top of describing microbial communities, we are interested in how the individual species interact with each other. We use modern sequencing approaches and network modeling techniques to infer these interactions.


The Department of Marine Microbiology and Biogeochemistry on Texel performs detailed studies on microbial communities in the marine environment. We study the diversity, physiology and activity of phytoplankton, prokaryotes (archaea and bacteria) and viruses in diverse marine environmental settings by a variety of techniques, including modern genomic techniques.


At the base of the marine food web, microbes act both as primary producers and degraders of organic material. The organic matter they provide feeds the oceans and life on land. While we have seen a tremendous increase in knowledge about the diversity, genome composition and metabolic capabilities of microbial species living in the ocean, we still lack insights about how these communities work at a systems level. Because of the high complexity of many natural communities, inter-species interactions are difficult to study. Computational approaches such as network modeling can be used to generate hypothesis about potential interactions which can then be validated with functional or other experimental approaches. Potential interactions include providing nutrients or energy substrates to another species, competing for nutrients or responding to signaling molecules. The Post-Doc will focus on elucidating marine microbial inter-species interactions in the Southern Ocean (close to Rothera, Antarctica) and perform sampling, high-throughput sequencing, network modeling and validation experiments in the laboratory. Part of the project will address the question of how climate change will impact microbial species abundance and especially their inter-species interactions in the Southern Ocean.


The candidate must hold a PhD degree in Bioinformatics, Computational Biology, Microbiology, Molecular Ecology, Microbial Ecology, Computer Science, (Bio-)Statistics, Physics or related fields and be highly organized and motivated. The position requires both strong computational as well as experimental skills. Candidates with a theoretical background should have at least some experience with microbiology and/or molecular microbial ecology techniques, and candidates with an experimental background need to have proof of computational skills, including excellent command of at least one programming language such as R or python. Experience with Unix/Linux systems is mandatory. The ideal candidate has experience in the analysis of high throughput genomic data. Due to the international character of the research group, excellent command of the English language is expected.


We are offering a fulltime position for 3 years, a pension scheme, a yearly 8% vacation allowance, year-end bonus and flexible employment conditions. Conditions are based on the Collective Labour Agreement of Research Centers. The position will be located on Texel. Cost of relocation and help with housing is provided by NIOZ.


Additional information about the vacancy can be obtained from: Dr. Julia Engelmann (Research Scientist).

Additional information about the procedure can be obtained from Alexandra Noppeney (Sr HR Advisor).



Interviews will be held on Texel, 25 September 2019. 

Postdoctoral Fellow in Computational Biology [Rome, Italy]



Rome, Italy

Staff Category:

Postdoctoral Fellow

Contract Duration:

2 years (renewable)


Postdoc Stipend

Closing Date:

1 October 2019

Reference Number:


The Boulard and Gross Groups are seeking to recruit a Postdoctoral Fellow with experience in computational biology to lead a project at the interface of epigenetics and neuroscience. The project combines the expertise of the Boulard and Gross groups in chromatin biology and neural circuits, respectively, to explore the cell-type specific interplay between transcription factors and the brain epigenome. The successful applicant will be part of a collaborative team of molecular biologists, biochemists, and neuroscientists that are working together on the large-scale exploration of previously uncharacterized transcription factors in mammalian brains.

Your role

The successful applicant will devise and carry out computational analyses of large-scale epigenomic and transcriptomic datasets internally generated, including:

·       developing methods and pipelines to analyze CutnRun and DAP-seq data sets, and

·       integrating, comparing, mining, and visualizing omic data sets.

You have

·       PhD degree in Bioinformatics, Computer Science, Mathematics, or related fields.

·       Solid skillset and experience in bioinformatics:

o   Excellent knowledge of R and biostatistics

o   Experience and proven track record in handling NGS datasets and developing analysis pipelines

·       Outstanding interpersonal and communication skills are essential


You might also have


·       Experience with Unix-based environment and high-performance computing cluster environment is not required, but would be considered an advantage.

·       Experience in motif discovery is not required, but would be considered an advantage.


Why join us

EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organization. The remuneration package comprises a competitive salary, a comprehensive pension scheme, medical, educational and other social benefits. Please note that appointments on fixed term contracts can be renewed, depending on circumstances at the time of the review.  

What else you need to know

EMBL is one of the highest ranked scientific research organizations in the world. We are an international, innovative and interdisciplinary laboratory with more than 1600 employees from many nations, operating across six sites, in Heidelberg (HQ), Barcelona, Hinxton near Cambridge, Hamburg, Grenoble and Rome. The Neurobiology and Epigenetics Unit at EMBL Rome studies mammalian physiology from the molecular to the systems level using the laboratory mouse as a model system. We take advantage of a full range of core facilities, including bioinformatics services and a high-performance computing cluster. For more information, please see our website at To apply please submit a cover letter clearly stating your motivation and future research interests/plans and a CV with at least two referees through our online system at Applications are welcome from all nationalities, appointment will be based on merit alone.


2 Stellen als Wissenschaftlicher MitarbeiterIn (m/w/d) (DoktorandIn oder Postdoc) in Bioinformatik [LMU München]

In der Arbeitsgruppe von Prof. Dr. Caroline Friedel an der Ludwigs-Maximilians-Universität München sind frühestens zum 1.10.2019 zwei Stellen als 

Wissenschaftlichen Mitarbeiter/in (TV-L 13, 100%) 

als Promotions- oder Postdoc-Stelle zu besetzen. Der Beginn der Stelle ist flexibel bis zum 31.3.2020. Eine Bewerbung ist auch bereits jetzt möglich, wenn Master oder Promotion erst in einigen Monaten abgeschlossen werden. Beide Stellen werden durch die DFG gefördert.

Themen der Stellen:

1. Großskalige Untersuchung von Short-Read-Archiven zu Störungen in der Transkriptionsterminierung und zirkulärem Spleißen / Large-scale investigation of short read archives for disruption of transcription termination and circular splicing

Ziel dieses Projektes ist dabei die Entwicklung und Anwendung von neuen Methoden zum Durchsuchen großer Read-Datenbanken wie die NCBI SRA nach Evidenz für Störungen in der Transkriptionsterminierung und speziellen Splicing-Ereignissen. 


2. Funktionelle Analyse der Induktion offenen Chromatins stromabwärts von Genen in der HSV-1-Infektion / Functional analysis of downstream open chromatin induced in HSV-1 infection

In früheren Studien haben wir festgestellt, dass HSV-1 Infektion zu einer massiven Störung der Transkriptionsterminierung führt, die mit offenem Chromatin in intergenischen Regionen assoziert ist. In diesem Projekt sollen nun RNA-seq und ChIP-seq Daten aus einer Kollaboration mit Prof. Lars Dölken vom Institut für Virologie der Universität Würzburg analysiert werden und neue Methoden entwickelt werden, um den Mechanismus und auslösenden Faktor für das offene Chromatin zu identifizieren.



Kandidatinnen und Kandidaten sollten ein Hochschulstudium (Master/Diplom) bzw. eine Promotion für die Postdoc-Stelle in Bioinformatik oder einem nahe verwandten Fachgebiet absolviert haben oder kurz vor dem Abschluss stehen. Vorausgesetzt werden gute Programmierkenntnisse (Java, Python und/oder Perl) und Interesse an quantitativer Datenanalyse und bioinformatischer Methodenentwicklung. Erfahrungen mit der Analyse von Hochdurchsatz-Daten, insbesondere Next-Generation Sequencing-Daten, wären von Vorteil. 

Bewerbungen mit den üblichen Unterlagen (Lebenslauf, Zeugniskopien, Master/Diplom-Arbeit bzw. Doktorarbeit als PDF per Email) bzw. Fragen zur Stellenausschreibung sind zu richten an:

Prof. Dr. Caroline Friedel 
Lehr- und Forschungseinheit für Bioinformatik
Institut für Informatik
Ludwig-Maximilians-Universität München
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UNIVERSITÄT GÖTTINGEN - W2 tenure track - Bioinformatik

Die Universitätsmedizin Göttingen (UMG) verfolgt im Rahmen ihrer strategischen Planung die konsequente Weiterentwicklung ihrer profilbildenden Forschungsschwerpunkte Neurowissenschaften, Herz-Kreislauf-Medizin und Onkologie mit translationalen und systemmedizinischen Ansätzen und ist auf dem Göttingen Campus eng vernetzt mit den natur- und biowissenschaftlichen Einrichtungen der Universität sowie den außeruniversitären Einrichtungen am Standort.

Im Institut für Medizinische Bioinformatik der UMG ist eine

(Bes. Gr. W2 auf Zeit, tenure track)

zum nächstmöglichen Zeitpunkt zu besetzen. Die Besetzung erfolgt zunächst für einen Zeitraum von 5 Jahren. Die Überleitung in eine Lebenszeitprofessur ohne Ausschreibung erfolgt nach einer positiven Evaluation.

Die Professur ist mit dem Aufbau und der Leitung einer Arbeitsgruppe am Institut für Medizinische Bioinformatik verbunden. Erwartet wird eine herausragende Promotion in Bioinformatik, Informatik, Statistik, Naturwissenschaften oder in einem verwandten Fach mit einer starken Komponente in der quantitativen Auswertung von biomedizinischen Daten. Außerdem werden Erfahrungen in eigenständiger wissenschaftlicher Tätigkeit auf dem Gebiet der Bioinformatik oder Data Science erwartet, welche durch einschlägige Publikationen und/oder Drittmitteleinwerbungen belegt sind.

Im Rahmen der Professur soll die methodische Entwicklung von Analyseverfahren zu biomedizinischen Hochdurchsatzdaten (z.B. Methoden des Maschinellen Lernens und zur Integrativen Datenanalyse) vorangetrieben werden. Erfahrungen mit Omics-Daten oder Bilddaten in der Biomedizin sind aus diesem Grund erwünscht.

Die Professur soll eine Brücke von der Medizinischen Bioinformatik zum Zentrum für Angewandte Informatik, zum Zentrum für Statistik und den derzeit im Aufbau befindlichen Data Science Aktivitäten in Göttingen schlagen.
Die Professur sollte weiterhin die Anwendungen der Bioinformatik in der Systemmedizin durch geeignete methodische Forschung unterstützen.
Eine positiv evaluierte Juniorprofessur, Habilitation oder gleichwertige wissenschaftliche Leistungen sowie pädagogische Eignung werden ebenso wie die Bereitschaft zur Mitwirkung an der akademischen Selbstverwaltung vorausgesetzt.

Weiterhin werden vorausgesetzt:

  • ein hohes Engagement in der Lehre,
  • die Bereitschaft zu interdisziplinärem wissenschaftlichen Arbeiten und
  • die Bereitschaft und Fähigkeit, drittmittelgeförderte Forschungsprojekte kompetitiv einzuwerben

Die weiteren Einstellungsvoraussetzungen für Professorinnen und Professoren ergeben sich aus § 25 des Niedersächsischen Hochschulgesetzes in der zurzeit geltenden Fassung. Bewerberinnen und Bewerber, die an der Universität Göttingen promoviert haben, können in der Regel nur berücksichtigt werden, wenn sie nach der Promotion mindestens zwei Jahre außerhalb der UMG wissenschaftlich tätig waren. Die UMG besitzt das Berufungsrecht.

Bewerbungen von Wissenschaftlerinnen und Wissenschaftlern aus dem Ausland sind ausdrücklich erwünscht. Die UMG strebt eine Erhöhung des Frauenanteils an und fordert daher qualifizierte Frauen ausdrücklich zur Bewerbung auf. Schwerbehinderte werden bei entsprechender Eignung bevorzugt berücksichtigt.

Bitte reichen Sie Ihre Bewerbungsunterlagen bis spätestens 25. August 2019 online über folgenden Link ein:

Bei Fragen stehen wir unter Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! gerne zur Verfügung.

1 Postdoc in Bioinformatics, 1 Bioinformatician / Computational Scientist, 1 Scientific Software Developer [DKFZ, Heidelberg]

Three open positions in the Bioinformatics and Omics Data Analytics Group at the DKFZ in Heidelberg.   

The new Collaborative Research Centre “Understanding and Targeting Resistance in Glioblastoma” (UNITEGLIOBLASTOMA, SFB1389) is focused on decoding and combating resistance in glioblastoma, a serious and usually fatal brain tumor in children and adults. The goal of the research consortium is to understand the molecular mechanisms of resistance against current therapies and to develop new types of treatment. At the heart of the CRC is the “Core Collection”, for which uniform, integrated data sets from multiple omics analyses, preclinical models, imaging, and clinical data are being generated.

We invite applications of enthusiastic and motivated Bioinformaticians / Computational Scientists / Scientific Software Developers to join the UNITE core work package “Data integration, bioinformatics analysis, and data exploration for precision neurooncology”.

The complete announcements, contact details and information how to apply can be found here:


Wissenschaftlicher Mitarbeiter (m/w/d) im Bereich Bioinformatik (TV-H E13 100%) [Gießen]

An der Professur für Algorithmische Bioinformatik am Institut für Systembiologie an der Justus-Liebig-Universität Gießen ist eine Vollzeitstelle mit einer/einem Wissenschaftlichen Mitarbeiter/in zu besetzen.


·        -  Eigene wissenschaftliche Weiterbildung (Promotion); hochschuldidaktische Qualifizierung; wissenschaftliche Dienstleistungen in Forschung und Lehre gemäß § 65 HHG

·     -Übernahme von Lehraufgaben gemäß Lehrverpflichtungsverordnung des Landes Hessen•Gestaltung weiterer wissenschaftlicher Profilbildung der neuen Professur für Algorithmische Bioinformatik und in Kooperation mit weiteren Mitarbeitern/innen Übernahme der Neu-entwicklung bioinformatischer Algorithmen, umfangreicher Implementierungen u.a. zum phylogenie-basierten Genom-Annotations-Recruitment und statistische Analyse von Mikrobiom Data


·         Abgeschlossenes wissenschaftliches Hochschulstudium in einem naturwissenschaftlichen Fach sowie Lehrerfahrungen auf dem Gebiet Bioinformatik/Genomforschung/Sequenz-analyse

·         Umfassende praktische Erfahrung in der Genomik, insbesondere in der automatisierten Analyse von Mikroorganismen

·         Idealerweise werden diese Voraussetzungen durch umfangreiche Python-Programmier-kenntnisse ergänzt

·         Ebenfalls wünschenswert ist Erfahrung im Umgang mit High Performance Computing Systemen, wie z. B. Rechenclustern, Big Data Frameworks und des kollaborativen open-source Softwareengineering.


Link zur kompletten Ausschreibung:

Post-doc in Biomedical Data Science (TB) (E13 TV-L, 100%) [Tübingen]

The Chair for Methods in Medical Informatics (Prof. Dr. Nico Pfeifer), Department of Computer Science at Eberhard Karls University Tübingen, one of eleven German universities distinguished as excellent under the German government’s initiative, is currently looking for a


Post-doc in Biomedical Data Science (TB) (E13 TV-L, 100%)


starting as soon as possible. The initial fixed-term contract will have an end date of 31st December 2020 with possible extension.

According to WHO there were 558,000 cases of drug-resistant tuberculosis (TB) infections world-wide in 2017 of which 82% were multidrug-resistant. In this project, which is funded through a Horizon 2020 grant by the European Commission, the successful candidate will build a prediction engine that is able to provide treatment decision support for TB-infected patients by applying and extending state-of-the-art machine learning methods. This will be in close collaboration with our Western and Eastern European partners, with a focus on multidrug-resistant strains from Eastern Europe.

The group has extensive knowledge at the interface between statistical machine learning, digital medicine, and computational biology. Nico is a PI in the excellence cluster “Machine Learning: New Perspectives for Science” starting in January 2019. We are developing methods that allow answering new biomedical questions (Speicher and Pfeifer 2015, Proceedings of ISMB/ECCB 2015) and optimize them in close contact with our excellent national and international biomedical partners (Carlson et al. 2016, Nature Medicine, Schoofs et al. 2016, Science, Döring et al. 2016, Retrovirology, Mendoza et al. 2018, Nature).


The ideal candidate will have a Ph.D. or equivalent in Biomedical Data Science, Biometry, Biostatistics, Machine Learning, Bioinformatics, Medical Informatics, Computer Science, Computational Biology or a related life science discipline. Applicants should have an interest in interdisciplinary work. Proven experience in data science and machine learning as well as strong programming/scripting skills (C/C++, R, Matlab, Python, JavaScript, Java) are desirable. Other relevant qualifications include:

·       Background in Statistics

·       Proficiency in Russian language (communication with Eastern European partners)

·       Knowledge of the adaptive immune system (especially humoral immune response)

·       Experience with medical data (clinical data, molecular data, …)

·       Experience with high-throughput data (next-generation sequencing)

·       Databases (MySQL, NoSQL)

In case of equal qualification and experience, physically challenged applicants are given preference. The University of Tübingen aims at increasing the share of women in science and encourages female scientists to apply. Candidates will be officially employed by the administration of the University of Tübingen. 

Please send your application (including motivation letter, curriculum vitae, transcripts and certificates, and contact details of two academic references) via e-mail to
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! with the subject: Post-Doc application Biomedical Data Science (TB).

Application deadline: 4th August 2019.

Candidates are encouraged to send their application material early since we will start reviewing applications already before the deadline.



Ph.D./Posdoc position in computational detection of RNA-DNA triple helices

The Institute for Computational Genomics, RWTH Aachen University
performs cutting edge research on computational and genomic methods
for understanding regulatory and epigenetic processes driving cell
differentiation and diseases (Gusmao, Nature Methods, 2016, Li, Genome
Biology, 2019). This project aims studying RNA-DNA interactions as
mechanisms of transcriptional control. We have recently shown how
long-noncoding RNAs (HOTAIR, GATA6-AS, NEAT1) interacts with DNA via
triple helices to control the expression of genes during cell
differentiation (Kalwa et al., NAR, 2016; Kuo, NAR, 2019; Frank, Cell
Stem cell, 2019).

We are looking for a phd/postdoc candidate to work on sequence
analysis algorithms and statistical models for detection of RNA-DNA
triple helices. This includes the analysis of novel in vitro
transcription experiments and target sequencing protocols, which
capture triple helix forming RNA and DNA molecules. This project will
be performed in collaboration with cell biologists of RWTH Aachen,
University of Cologne and University of Oslo.

Applicants should hold a M.Sc. or Ph.D. in Bioinformatics or Computer
Science. Experience in the analysis of biological sequences and
regulatory genomics is required. The candidate should have solid
programming skills (C, Python and/or R) and acquaintance with
Unix/Linux. Experience with high performance computing is a plus. The
working language of the group is English. The position is a will be
initially for 3 years with possibility of extension. The salary
corresponds to level 13 TV-L.

Interested candidates should send a brief statement of research
interests, CV and the names of three references to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!.

2x PhD pos., Comp. biochem./chem. or struct. bioinf., University of Duesseldorf, Gohlke group

Applications are invited for two PhD student positions in the Computational Pharmaceutical Chemistry & Molecular Bioinformatics group (Prof. Dr. Holger Gohlke, at the Heinrich-Heine-University, Düsseldorf, Germany.

PhD student position 1: Overcoming lantibiotics resistance in bacterial pathogens: Nisin as a model system
Topic: Lantibiotics are antimicrobial peptides that are produced by Gram-positive bacteria and bactericidal against other bacteria in the low nanomolar range. Because of their high selectivity and stability, lantibiotics are considered valuable future anti-infective agents. The best-studied lantibiotic is Nisin. Various human pathogenic strains of bacteria have been found to have natural immunity to nisin, attributed to, e.g., the nisin resistance protein (NSR) or ABC transporter NsrFP. By structure-based design, hit molecules have been identified that inhibit NSR, and a structural model of NsrFP has been generated. In this project within the DFG-funded GRK 2158 (, the inhibitory, physicochemical, and pharmacokinetic properties of the hits will be improved by structure-based and computer-aided drug design, analog searches, synthesis, and in vitro and in vivo testing. Furthermore, the mechanism of NsrFP will be scrutinized by molecular simulations with the aim to identify novel compounds that inhibit the transporter. Our group has a strong background in computational pharmaceutical chemistry and molecular informatics and will collaborate with the Smits, Pfeffer, Kalschauer, Stork, Pietruszka and Müller groups of the GRK 2158.
Availability: The position is available as of 01.10.2019.


PhD student position 2: Functional analyses in silico and in vitro of consequences of cholestasis-associated mutations
Topic: Mutations in several genes (ATP8B1, ABCB11, ABCB4, TJP2, NR1H4, MYO5B) contribute to the development of severe forms of intrahepatic cholestasis. Since most mutations are only found in one or two families, their clinical consequences are often unknown. In particular, biological consequences of missense mutations (38-66% of mutations in ATP8B1, ABCB11, and ABCB4 in patients with severe cholestasis) are less clear. In this project performed within the BMBF-funded Hereditary Intrahepatic Cholestasis Translational Network (HIChol), novel missense mutations will be structure-based analyzed for their potential impact on interactions with surrounding residues, substrate and cofactor binding, protein stability, structural dynamics. While molecular models have been established for ABCB11 and ABCB4, and experimental structural information is (in part) available for TJP2, FXR, and MYO5B, a structural model of FIC1 will be generated. In collaboration with the Department of Gastroenterology, Hepatology and Infectious Diseases, University Hospital, Heinrich Heine University Düsseldorf, results from molecular modelling and simulations will be tested for selected mutations by transfection of mutated cDNA into polarized hepatoma cell lines and HEK293 cells. Trafficking, subcellular localization, and function will then be studied. The cell culture approach will be used to optimize the predictions from molecular modelling and simulations. Results from this project will allow for classification of detected missense mutations into subgroups according to their cell biological consequences (e.g., maturation, trafficking, targeting, or function), and selected mutations will be further analyzed within HIChol.
Availability: The position is available immediately.

Requirements: Ideal candidates will have a record of excellence and a strong background in computational biochemistry, molecular informatics, and computational structural biology as well as a high interest in working in an interdisciplinary research field, and profound knowledge in state-of-the-art molecular dynamics simulations (Amber) software and molecular modeling.

How to apply: Applicants should submit applications (a one-page letter of motivation why they are interested in the respective project and how they can contribute to the project’s success, a current CV, and contact data of three references) by email to gohlke* Please provide all documents as one PDF file and specify for
which position you are applying.

Detailed information about living and studying in Düsseldorf is provided here:

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