143 engineering-computation-"https:"-"https:"-"https:"-"https:" positions at Technical University of Denmark
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modules that enable engineered T cells to detect intracellular cancer antigens, expanding CAR-T and similar technologies beyond surface targets. You will help develop new and optimise existing computational
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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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candidate will focus on the identification, selection, engineering, and characterization of enzymes forming a multi-component in vitro cascade for targeted metabolite production. The project will give you the
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disciplines in our Startup Program, i.e. technology maturation, funding, commercial maturation and team formation. Close collaboration with the departments around the innovation agenda and culture, and relevant
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Job Description Join a young research group dedicated to transforming materials discovery from empirical exploration to predictive design. Our research program builds on a synergy of high-throughput
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energy system. Qualified applicants must have: PhD degree in physics, astronomy, engineering, computer science or similar. Experience with finite element modeling, ideally Comsol Multiphysics. Experience
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling
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interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules
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validation in rodent migraine models Close collaboration with computational protein engineers and clinical researchers Data analysis, manuscript preparation, and supervision of students where relevant
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Job Description Are you interested in biomedical technology and how microdevices could improve diagnostics and patient monitoring? Would you like to contribute to the development of novel strategies