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, miniaturised devices for biomedical research, and to other specialised applications. However, our current understanding of the key factors that affect their performance is limited by the fact that most
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biochemical techniques to study details of antigen recognition and effector functions of autoantibodies Engage in data analysis and collaborate with computational scientists. Your qualifications: MSc
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for data analysis and experiment automation (Python preferred) Excellent English communication skills (written and verbal) Demonstrated ability to work in interdisciplinary and collaborative environments
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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
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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
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defects of smectic-liquid crystal order in developing cross-striated muscle, or use machine-learning to expand existing custom-built image analysis pipelines (Python, Matlab). To learn more about this
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management (if the personal requirements are fulfilled EG 13 TV-L) at first for a 3-year duration. The job offer is basically part time suitable. During the duration of the position, it is possible to strive
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projects range from the analysis of basic cellular processes to clinical translation, from the application of novel biophysical approaches and the generation of mathematical models to the development of new
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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
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acyl-CoA-producing enzymes have been extensively studied in the mitochondrial compartment for decades, emerging evidence suggests they are also present and functional in the nucleus, where they play a