74 data-science-phd Postdoctoral positions at Technical University of Denmark in Denmark
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with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological
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. Characterization and demonstration of the blue OPA based UOWC system. Supervise BSc and MSc student projects, and be co-supervisor for PhD students Data analysis, writing of scientific articles and presentations
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MagTense framework, and will be used in powering future beyond-state-of-the-art simulations within magnetism. Qualified applicants must have: PhD degree in physics, astronomy, engineering, computer science
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Designing and performing immunochemical analyses Bioinformatic analysis of data Data analysis and interpretation of results Scientific dissemination. You will work in close collaboration with other
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PhD degree (or equivalent) in Manufacturing Engineering, AM, or related field Experience with metrology of small to large scale laser-based metal AM components (e.g. DED, powder-bed fusion) Experience
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PhD degree (or equivalent) in Environmental Engineering, Industrial Ecology, Design for Sustainability, Circular Economy, Remanufacturing, or a closely related field Experience with developing digital
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with academic and industry partners Disseminate results through publications and stakeholder engagement Your primary qualifications are: As a formal qualification, you must hold a PhD degree (or
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PhD degree (or equivalent) in Environmental Engineering, Industrial Ecology, Design for Sustainability, Circular Economy, Remanufacturing, or a closely related field Experience with developing digital
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conferences, and actively participate in knowledge exchange across disciplines. As a formal qualification, you must hold a PhD degree (or equivalent). Specifically, a PhD in Materials Science and Engineering