67 high-performance-computing Postdoctoral research jobs at Technical University of Denmark
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to mucosal dysfunction. Mucins remain underexplored despite their significant role in numerous health conditions, making this a high-risk, high-reward research opportunity. You will explore novel therapeutic
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of instrumentation, in particular high-energy instrumentation, i.e. X- and gamma ray detectors and -optics. The division is currently active in the operation of instruments and data analysis from three satellites
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engineering. We aim to unravel the logic of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse
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. Over the last decade HLA class II antigen presentation has been accurately described and methods developed that predict this event with a high level of confidence. In comparison, a detailed understanding
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of magnesium-based binders in different environments, with particular interest in carbonation mechanisms. You will gain hands-on experience with advanced equipment and computational modelling tools to analyse
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qualification, you must hold a PhD degree in computer science, software engineering, biomedical engineering, data science, or a similar field. Your project management skills include: Experience in technical
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of mushroom mycelium to grow on diverse and often recalcitrant UPRM including materials rich in lignocellulose and tannins. We aim to convert these low-value side streams into high-value food ingredients with
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for carbon cycling, ecosystem functioning, fisheries, and services such as CO₂ sequestration. Despite their importance, many of these processes remain poorly understood due to Greenland’s remoteness and
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-benefit questions in food and nutrition. You will be part of a collaborative and interdisciplinary research environment and will have the opportunity to contribute to high-impact research within a European
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tools are transforming professional work. You will work with a team of leading researchers, contribute to high-impact studies, and engage with public institutions to inform real-world AI implementation