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teaching and research that address the global challenges of sustainability, health, and digital transformation. It offers a dynamic portfolio of undergraduate, postgraduate, and doctoral programmes tailored
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, and quantum information , ultracold quantum gases , Ultrafast Molecular Dynamics , Ultrafast Physical Chemistry , Ultrafast Science , Unconventional and topological superconductivity , X-ray
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–specific ways, and their downstream biological effects remain poorly understood. This project tackles this fundamental gap — by building computational models that simulate what goes wrong in the brain, one
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industrial application. It is part of activities in ARCNL’s Source Department. The research activities of the Source Department and its EUV Plasma Processes group aim at the atomic- and molecular-level
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, Faculty of Health and Medical Sciences, University of Copenhagen We seek to appoint a highly motivated and dynamic PhD fellow interested in immunology, neurology and the development of novel nutritional
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. In the project you should: Design and implement enzyme libraries using generative AI tools such as RFdiffusion2 or BoltzDesign. Perform molecular dynamics simulations to assess enzyme-substrate
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descriptions at http://nomaten.ncbj.gov.pl Job/tasks description: Conducting research on atomic scale dynamics in glasses and high entropy alloys using molecular dynamics. Developing machine learning models
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dynamics to cellular metabolism. The student will receive broad training in cell culture, genome engineering, live-cell imaging, biochemical assays, proteomics, and computational data analysis, and will work
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will be associated with these projects. The Kavli Institute for Systems Neuroscience offers a dynamic, interdisciplinary research environment that advocates active collaboration, and where diversity
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tools such as RFdiffusion2 or BoltzDesign. Perform molecular dynamics simulations and in silico screening to assess inhibitor-target interactions and predict selectivity. Clone, express, and purify top