2 Master Thesis Positions (m/f/d) / Abteilung Experimentelle Diabetologiebaito Pro Job

2 Master Thesis Positions (m/f/d)

We invite applications for

2 Master Thesis Positions (m/f/d)

Tasks

Therefore, tasks would be:

• Clustering individuals based on their gene expression profiles
• Clustering individuals based on their epigenetic signatures
• Using Machine Learning and Deep Learning and other clustering methods established in the group (Partition Around Medoids: PAM) and (Weighted gene-coexpression network analysis: WGCNA)

With this the student will learn to connect complex multi-omics datasets, including epigenetics, transcriptomics, and genomics in the context of 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 or Python. 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.

Contact for further information