The German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) is a member of the Leibniz Association and its mission is to conduct experimental and clinical research in the field of nutrition and health.
The Department of Experimental Diabetology is an internationally recognized research-based department encompassing life sciences and a partner of the German Center for Diabetes Research (DZD).
We invite applications for
1 Master Thesis Position (m/f/d)
starting as soon as possible.
The candidate will work in an interdisciplinary team to perform Bioinformatics Studies on (Epi)Genetics of Obesity and Type 2 Diabetes. The master student should create an analysis pipelines to predict tissue specific regulatory regions, considering transcriptomics, histone modifications, and ChIP-Seq data. Therefore, tasks would be to:
- Implementing and using of ModHMM-classifier (histone modifications)
- Integrating transcriptomics
- Benchmarking of ModHMM versus classical approaches
- Creating a user interface (shiny-app)
With this, the student will learn to connect complex multi-omics datasets in the context of translational research projects that will be run in collaboration with academic and clinical researchers.
Skills and requirements
The DIfE invites applicants with academic background in an appropriate discipline e.g. – bioinformatics, mathematics, statistics, or in a biological science with substantial analytical background knowledge.
The candidate will enjoy team working and interactions with experimental scientists and other bioinformaticians to work on complex datasets, and will have experience using tools such as R/Bioconductor. Basic skills in Unix operation systems and intrinsic interest in genetics would be an asset.
The institute offers excellent working conditions in an interactive and multidisciplinary research environment, with state-of-the-art equipment, qualified training and the opportunity to continue on a PhD position afterwards.
Please send your application until latest March 31st, 2022 via e mail to firstname.lastname@example.org.
For further information please do not hesitate to contact:
Prof. Dr. Annette Schürmann, Head of the Department of Experimental Diabetology, E-Mail: email@example.com
Dr. Pascal Gottmann, Scientist, E-Mail: firstname.lastname@example.org
By submitting your application documents, you grant us the right to collect, process, and use your personal data exclusively for the application selection process. For further information about your rights according to the data protection law, please contact the department Human Resources and Social Services (email@example.com).