97 parallel-computing-numerical-methods-"Prof" PhD positions at Technical University of Denmark in Denmark
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offer Joining our team will provide you with numerous benefits, including: The opportunity to explore completely new regimes of physics and information, both theoretically and experimentally
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characterization of glycoside hydrolases, and a postdoc working on computational modelling of the same enzymes. The PhD focuses on ligand-observed NMR analyses and other relevant methods to provide insight
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on the development of regulatory tools to improve CRISPR-Cas editing for neurological diseases. You will work with a wide range of methods, including molecular biology, culture and differentiation of human iPSCs
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well as abroad. To support your success, you will have access to DTU National Food Institute’s excellent laboratory facilities. Your overall focus will be to assess if the current biocide assessment methods based
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. Your research will contribute to sustainable, resilient, and efficient healthcare systems. The research is expected to employ methods from Operations Research, Management Science, Data Science, and
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its
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for the development of next-generation CAR T cell therapy for solid tumours. You will work with a wide range of methods, including molecular biology, culture of human T cells, CRISPR multiplexed genome engineering
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(particularly for packaging), and analytical techniques Experience in packaging processing technologies (e.g. extrusion, Injection, compression molding, others) Familiarity with relevant methods such as
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application phases. This will involve toxicological testing (e.g., cytotoxicity, mutagenicity) and evaluating microplastic release and ecotoxicity using standardized and novel methods (in collaboration with a
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with methodologies such as AI-assisted evidence synthesis and quantitative health impact assessment and become part of an interdisciplinary research environment with strong links to DTU Compute and the