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area # Experiences in Molecular biology - with Phage surface display technology # Knowledge in Bioinformatic analysis and Bioprocessengineering # Optional: Experiences in machine learning and LCA
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/d) will work on fast data-driven decisions regarding the initiation of plan adaptations within the loop: # Generation and validation of machine learning models for the automated decision
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multi-omics data, as well as electronic health records and imaging. Your profile Ph.D. and/or postdoctoral experience with a strong background in machine learning, bioinformatics, computational biology
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Offer Description We are an international and multidisciplinary research group focusing on the development of advanced solid-state NMR experiments through computer optimizations. In solid-state NMR
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Helmholtz Association of German Research Centers . Over 3,200 staff members from 88 nations are dedicated to performing and driving cutting edge research for a life without cancer. Organized in more than 100
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-of-distribution conditions. Mentor highly-motivated PhD students. Your profile Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field with a focus on machine learning, deep learning
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to identify degrading enzymes from different data resources Using Hidden Markov Models and similar tools as well as machine learning for the identification of novel and better enzyme variants from a
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intelligence, machine learning and computational biology. Strong programming skills combined with a mathematical mindset. Evidence of the ability to conduct high-quality research and produce publications in top
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proteins Experience in molecular dynamics simulations, free energy calculations, machine learning/deep learning, Markov State Models, docking, or related areas Knowledge of at least one programming language
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Chair of Biological Imaging 14.02.2024, Wissenschaftliches Personal Here we seek for a highly qualified and motivated PostDoc (f/m/d) with a strong experience in the development of computational