-
, various inducible, non-pathological, and disease-associated aggregates will be used as model systems. The project will employ biochemical, cell biological, and proteomic approaches. Your job
-
such as multi-level models, target trail emulation, mediation analysis and g-computation Supervision of bachelors’ and masters’ students You will report to Professor Christina C. Dahm. Your competences You
-
research project The project will address distinct metabolic pathways in prostate cancer progression. The study is based on an in vivo CRISPR mouse model for prostate cancer, introducing multiple mutations
-
Electrophysiological characterization of muscle fiber excitability (in collaboration with the research group) In vivo studies using animal models of neuromuscular disease Integration of molecular and transcriptomic data
-
models to better understand the relation between radiation doses and neurovascular effects and to develop proton therapy planning strategies to mitigate these effects. The project will be performed in a
-
/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development