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at the Functional Genomics & Metabolism Research Unit at Department of Biochemistry and Molecular Biology, University of Southern Denmark. There is an opportunity for an introductory position as research assistant
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Rasmus Siersbæk at the Functional Genomics & Metabolism Research Unit at Department of Biochemistry and Molecular Biology, University of Southern Denmark. There is an opportunity for an introductory
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tools from chemistry and biology, and apply these in studies of therapeutic peptides and proteins. Our aims are to develop modulators for protein-protein interactions (PPIs) and to provide molecular-level
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of computational chemistry. Applicants can have a background from cheminformatics including RDKit, machine learning applied to chemistry, and molecular modeling Our group and research- and what do we offer? Our
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forefront of protein science and biophysics—tackling the molecular origins of neurodegenerative diseases of the brain. The overall aim of the research is to achieve a deep understanding of how protein
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crystallinity. Therefor prior knowledge of state-of-the-art modelling software and molecular dynamics simulations and quantum mechanical calculations to elucidate the reaction mechanism, together with AI based
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(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
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secondary metabolite research. You will collaborate closely with microbiologists, natural product chemists, and bioinformaticians in a dynamic, creative, and stimulating environment. Our recently renovated