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are available within the general study programme in Mathematics. The stipends are open for appointment from August 1, 2026, or soon as possible thereafter. The stipends are available for 3 or 4 years depending
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renewal of the appointment may be possible based on funding. The position is part of the Inter-CeBIL program funded by the Novo Nordisk Foundation (NNF). Areas of Research Inter-CeBIL is dedicated
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Structures” and https://healthsciences.ku.dk/phd/admission-requirements/different-routes-to-a-phd/ . Until the MSc degree is obtained, (when exactly two years of the full 3+5 programme remains), the grant will
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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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friendly atmosphere of large and interacting communities for e.g. structural biology, molecular cell biology, computational biology, neurobiology, and molecular medicine that encourages lively, open, and
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computational scientists. The position offers a unique opportunity to work at the interface of landscape ecology, biodiversity science, climate mitigation, and sustainable agriculture, contributing directly to
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Tenure Track Assistant Professor or Associate Professor in building information modelling and dig...
Assistant Professor or Associate Professor position from 1 October 2026 or as soon as possible thereafter. Job description The appointed candidate is expected (1) to develop a research programme in digital
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image acquisition technologies with advanced image analysis, data management, and computational platforms, enabling reproducible, scalable, and translational bioimaging workflows. Develop and implement
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to develop an independent and competitive research program. Research areas of particular interest include, but are not limited to: Surface-sensitive vibrational spectroscopy (e.g. sum-frequency generation
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, 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, is