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-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
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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
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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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. 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
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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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element in assessing the authenticity of the application and the individual qualities of the applicants and evaluating them appropriately. The selection criteria are: Academic qualification academic
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for a detailed analysis of the chemical composition of the air and the various factors that lead to changes in air quality. Tasks additionally include: Characterization of a high-precision multi-gas
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Proficiency (C1 or equivalent) expected Collaborative mindset Proficiency in common tools for data analysis, state-of-the-art data procurement and reporting, and bioinformatics Willingness to work in an
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Master’s degree (or equivalent) in mathematics, computer science, physics, or related field. Sound knowledge in (scientific) machine learning, and knowledge in numerical analysis and numerical linear algebra
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patient-derived, isogenic-corrected patient-derived controls and healthy-derived iPSCs and evaluate pathomechanisms through in-depth molecular, physiologic, and morphologic phenotype analysis. WP2