Sort by
Refine Your Search
-
for data analysis and experiment automation (Python preferred) Excellent English communication skills (written and verbal) Demonstrated ability to work in interdisciplinary and collaborative environments
-
PhD). Tasks: The successful candidate is required to conduct research on a topic in probability theory (e. g. stochastic processes / stochastic analysis) and its applications. You support the institute
-
of Environmental Justice (EJ) and Environmental Justice over Time (EJoT) into a unified framework for network design and resource pricing. By incorporating these vital elements into the transportation planning
-
PhD project: The genomes of basically all living organisms on our planet are invaded by genetic elements called transposable elements (TEs). These TEs can be considered as parasites in our genome
-
to reason about software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new
-
approaches to efficient analysis of the vast data amounts generated in the scattering experiments. For more information, visit our web page: https://www.soft-matter.uni-tuebingen.de/ We are currently looking
-
-driven simulation with physics-inspired data and image analysis, often in close collaboration with experimental partners, to identify physical principles behind biological dynamics and self-organization
-
. Engage in data analysis and collaborate with computational scientists. Your qualifications: MSc or equivalent degree in Molecular Biology, Genetics, Biochemistry, Epigenetics, or a related discipline
-
chemical analysis of secondary plant substances and their reaction products using HPLC-MS and GC-MS identification of novel reaction products cell biological studies (e.g. cytotoxicity studies) analyzing and
-
- spectroscopy. Our goals involve the monitoring of drugs in body fluids, the analysis of biomarkers in exhaled gas, and biomedical imaging to provide insights into molecular mechanisms of disease. Your knowledge