We have an opening for a PhD student.
For a collaborative project with the university medical center (group of Prof. Philipp Wild), we are looking for a PhD candidate to integrate multi-omics data for studying the link between obesity, diabetes, and cardiovascular disease in large human cohort studies. The main biomedical aims of the project are to investigate molecular processes and markers of diabetes development and cardiovascular complications in relation to obesity and to detect disease subtypes for the development of more personalized medicine approaches.
You will work in a highly interdisciplinary team and contribute to this goal using multi-dimensional and pathway-integrating analysis of multifaceted data (proteomics, transcriptomics, genomics, phenotypic/Clinical) form large human cohort studies. Furthermore, you will apply, evaluate, and develop state-of-the-art bioinformatics and machine-learning methods to extract novel and medically relevant information out of the datasets.
For application, please send your motivation letter, CV, two recommendation letters, and copies of your diploma(s) and transcripts (high-school, bachelor, master) by e-mail to firstname.lastname@example.org.
- Master degree in Computational Biology, Bioinformatics, Systems Biology, Biomathematics, Epidemiology or a related area
- Strong interests in human biomedicine (cardiovascular diseases, diabetes, obesity) and multi-dimensional data analysis
- Programming experience in R, python, or similar programming languages
- Sound statistical knowledge and experience in handling bioinformatics databases and tools
- Good communication skills and fluency in English
- Structured and independent work attitude