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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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. 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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, biomedical engineering, neuroscience, physics, or related field • Strong interest in vision science and technical aptitude • Solid analytical abilities with experience in image analysis and/or human
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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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regulatory processes. Develop analysis pipelines for pre-processing, normalization, and statistical modeling of high-throughput sequencing data. Integrate and mine public datasets to complement in-house
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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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from a senior researcher for data analysis. You will be based in the WindLab - one of the university's most modern office and laboratory spaces - while also having the opportunity to work flexibly and
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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