The Lund University Diabetes Centre (LUDC; www.ludc.lu.se) is recruiting five junior scientists within the framework of the SSF funded project LUDC-IRC (www.ludc.lu.se/about-us/ludc-irc) and the strategic research environment Exodiab (https://www.exodiab.se/home/).
LUDC is one of the largest diabetes research centres in the world with approximately 300 investigators and staff members working towards improved diagnosis, prevention and treatment of diabetes. The centre combines expertise in genetics, epidemiology, statistics, bioinformatics, molecular and cellular biology, physiology and clinical diabetes and endocrinology to achieve these goals. LUDC has large unique biobanks and databases with genome-wide data linked to national registries providing information on disease aetiology, progression as well as outcome and treatment. The centre has in-house platforms for most molecular genetic methods and metabolomics. Omics-information combined with extensive phenotyping allows a systems medicine approach to dissect the complexity of diabetes. A central theme of the Centre is to develop precision medicine to improve health and the quality of life of diabetic patients.
Successful candidates will drive collaborative research to advance five specific themes of the centre’s research program. Further information for each position can be downloaded from https://www.lunduniversity.lu.se/vacancies or https://www.lu.se/vacancies. Reference numbers for each theme are indicated below, as well as contact persons for potential informal enquiries:
- Induced pluripotent stem cells to elucidate pathogenetic mechanisms of genetic variants (Ref. No PA2019/421; firstname.lastname@example.org)
- Genetic and epigenetic biomarkers for prediction of vascular complications and response to treatment in subjects with diabetes (Ref. No PA2019/420; email@example.com)
- Discovery and functional validation of regulatory networks in human pancreatic islets to identify targetable disease mechanisms underlying Type 2 diabetes (Ref. No PA2019/312; firstname.lastname@example.org)
- Identification of osteopontin-related peptides stimulating insulin secretion (Ref. No PA2019/422; email@example.com)
- Molecular determinants of plasma lipid profile and adipocyte size distribution (Ref. No PA2019/198; firstname.lastname@example.org)