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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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with Bioneer, DTU Bioengineering, DTU Health Tech, and KU, DTU Compute is aiming to create a shared data framework and platform to pioneering models and methods with applications to stems cells
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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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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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(DTU) welcomes aspiring candidates to expand the field of two-state water thermodynamics. This PostDoc project is funded by the Villum Experiment Programme “Can the two-state theory of water
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of circumstances under which university scientific advice is given to private companies; A background within scientific computing, using tools such as R, Julia or Python; Knowledge of using data science in relation
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intelligence within grid-connected power converters and variable-frequency motor drives with edge computing and machine learning capabilities. We offer a multidisciplinary, international, and friendly atmosphere
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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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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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Job Description Are you looking to grow your career in intelligent embedded systems and edge computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute , where your