in photonics and medicine
We have an opening for a master thesis for performing research towards new strategies for improving current medical diagnostic approaches. The project will focus on the development of probabilistic models that lead to precise definitions of disease states as well as their dynamics and interactions. To this end, ideas and methods from statistical physics, machine learning, and inference algorithms will be employed. The resulting models, will be applied and tested on health-related data sets collected in the framework of clinical research studies performed by the University of Munich (LMU) and the Center for Molecular Fingerprinting (CMF).
- Experience with programing in Python or equivalent;
- Good knowledge of probability theory and statistical physics;
- Very good academic record;
- Interest in medical applications .
If interested, please get in touch with Dr. Kosmas Kepesidis (email@example.com) and Lea Gigou (firstname.lastname@example.org) to discuss this possibility. Our group is based at the Research Center in Garching (Forschungszentrum Garching, Section Physics of LMU, Am Coulombwall 1, 85748 Garching), which is easily accessible by public transport.