49 computer-security-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at Technical University of Denmark
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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
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Environment. CEBE is a strategic initiative funded by the Villum Foundation that seeks to strengthen research and development of sustainable solutions for the construction sector. The programme will run for 10
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Job Description We are looking for two highly skilled and motivated scientists for our program within carbohydrate chemistry, glycobiology, and vaccine design. You will join the team working
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computational protein designs into validated therapeutic candidates. Your responsibilities will include: De novo design of minibinders Recombinant expression and purification of AI-designed minibinders (miBds
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interaction, contact-rich manipulation, and force-aware behaviors Integrate robotic manipulators with mobile bases, perception systems, and onboard sensors Program and deploy robotic systems for experimental
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implementation research, to National Reference Laboratories, international organizations, and supranational institutions such as the European Commission and the European Food Safety Authority. Our work focuses on
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funded project under the Novo Nordisk Foundation Exploratory Interdisciplinary Synergy programme. The project focuses on the design and experimental validation of de novo proteins that target sperm and
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the design questions using a computational approach to simulate the performance of thermoelectric generators, and subsequently use the model to dimension and design the thermoelectric elements for the heat
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biosynthetic pathways for microbially-derived molecules and understanding how microbial molecule production can be modulated for disease prevention and therapeutic benefit. Using a combination of computational
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materials, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python