242 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "U.S" "U.S" "P" Postdoctoral positions in Denmark
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section Help design and pilot an outreach programme for Danish school classes linked to the monitoring work Help organise two workshops bringing together interdisciplinary expertise from within and beyond
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integrates CRISPR-based genome engineering, quantitative and live-cell microscopy, biochemistry, and computational analysis to dissect how cells sense and respond to replication-associated threats. Recent work
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genome engineering, quantitative and live-cell microscopy, biochemistry, and computational analysis to dissect how cells sense and respond to replication-associated threats. Recent work from the lab has
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approaches are transforming how next-generation biologics are discovered and engineered. We are launching an ambitious research program centered on AI-driven generative protein design to develop GPCR-targeting
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strong background in computational condensed matter physics. Experience with first-principles electronic structure methods and scientific programming is expected. The ideal candidate is highly motivated
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Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific
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Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific
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a master’s degree (if he/she applies for a position as research assistant) or a master’s and Ph.D. degree (if he/she applies for a position as a postdoc) in Bioinformatics, Computational Biology, or
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Engineering & Structural Biology at https://www.biosustain.dtu.dk/research/research-areas/natural-products/enzyme-engineering-and-structural-biology If you are applying from abroad, you may find useful
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qualifications In this project, we advance an AI-driven T cell-targeting strategy based on de novo-designed peptide-MHC (pMHC) binding proteins. Using computational protein design, we create synthetic recognition