Location: Institute of Human Genetics, University Clinics Leipzig
Starting date: July 2021
Project: We are looking for a highly motivated PhD student for a 3.5-year position.
The project has a long-term goal of understanding lipid accumulation mechanisms, which can be transferred to obesity therapies. We are employing a multidisciplinary approach at the crossroads of bioinformatics and molecular biology to investigate lipid accumulation and adipose tissue redistribution using lipoma as model.
The PhD student will be involved in transcriptome and exome analysis of spontaneous lipomas compared to normal subcutaneous adipose tissues. Using this approach we will identify genetic networks that are involved in lipid accumulation and can be pharmacologically targeted. Further, the student will be involved in the func- tional characterization of the newly identified targets with support from other fellows with focus on wet lab experiments.
Collaboration Partners: The project offers stimulating interactions and training opportunities including the Rudolf Schönheimer Institute of Biochemistry (Faculty of Medicine), the Max Planck Institute of Evolutionary Anthropology and other members of the DFG-funded CRC 1052 (https://www.sfb1052.de/home.html).
Profile of candidate’s qualifications: If you are highly motivated, have a MSc in a life science subject or bioinformatics, are interested in both bioinformatics and molecular biology, and willing to work on a project with a high translational potential to therapy, this position is right for you.
Programming experience in R, python, and C++, as well as working in Linux environment will be of high benefit. Prior experience in wet lab is not a prerequisite, but interest in the field is highly desired.
• a supportive and international working environment
• access to cutting edge transcriptomics, genomics, computing, and research facilities
• the chance to pursue fundamental research of medical relevance
• enrollment and graduation within the CRC 1052 Obesity Mechanisms Graduate Programme
Please send your CV and two references to firstname.lastname@example.org