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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
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Job Description If you are passionate about cutting‑edge research in bioprocess modelling and eager to shape the next generation of digital twins for industrial biomanufacturing, we invite you to
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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
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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
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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
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/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development