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Field
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the field of Biotechnology/Biology/Bioprocess engineering or related field Knowledge of genetic engineering, protein production and cell-free approach as well as bioprocess engineering, bioproduction
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qualification (statistics, epidemiology, animal welfare, biological safety, presentation techniques) Course organisation The course of study is divided into four parts: experimental research, interdisciplinary
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academic, clinical, and industry partnerships, as well as global networks, we translate biological insights into innovations for early detection, individualized therapies, and disease prevention. Founded in
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(bioinformatics, computer science, genetics, or a related field) Excellent advanced scientific degree (PhD) in bioinformatics, computer science, computational biology or a related STEM field; prior working
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physics, engineering, medicine, biology or a related field Practical experience in optics, signal processing and working with experimental setups (e.g. MATLAB) Interest in medical diagnostics and innovation
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degree (or equivalent) in Data Science, Computational Biology, Bioinformatics, Computer Science, Physics or a related field Solid programming skills and knowledge in deep learning, statistical modelling
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expansion of research at the CIMH in the field of biological and environmental bases of psychiatric disorders as well as their interaction and the genetic basis of therapy responses (e. g. pharmacogenetics
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The Leibniz Institute for Food Systems Biology at the Technical University of Munich (Leibniz-LSB@TUM) , a legal foundation under civil law based in Freising, is a prominent member of the Leibniz
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The Leibniz Institute for Food Systems Biology at the Technical University of Munich (Leibniz-LSB@TUM) , a legal foundation under civil law based in Freising, is a prominent member of the Leibniz
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. Through academic, clinical, and industry partnerships, as well as global networks, we strive to translate biological discoveries into applications that enable the early detection of deviations from health