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Job Description Could you imagine designing clusters for catalyzing chemical reactions at the atomic-scale? The Center for Visualizing Catalytic Processes (VISION) is offering a PhD positions for
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Job Description You will join a supportive and dynamic research team working at the intersection of machine learning and operations research. Your main task will be to design and implement ML
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candidate you will contribute to SEEDS , a research and innovation project funded by the European Commission, and a large global expert network under the IEA EBC Annex 96 - Grid Integrated Control
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the European Innovation Council (EIC), you will work in close collaboration with researchers at DTU, Cambridge University, Technical University Munich, Imperial College London and the company SolarFoods. You
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into this environment are invited to apply. Experience in quantum nanophotonics, quantum photonic devices, nanoscience, nanotechnology, and quantum dots is welcomed. Learn more about the project here: nikaakopian.org
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more information for a given experimental budget. Efficient active learning depends on the careful co-design of experiments and inference algorithms. You will explore topics such as how to elicit
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experiments and analysing data. Design and perform cultivation in bioreactors. Writing peer-reviewed scientific publications. Actively interacting and collaborating with other partners involved in the project
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points) or a similar degree with an academic level equivalent to a two-year master's degree. Key Selection Criteria Hands-on experience in Synthetic Biology and Genetic Engineering is mandatory. Knowledge
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graph using RDF, OWL, and related technologies Designing and implementing workflows for data ingestion, integration, and querying across multiple systems Driving use-case studies that demonstrate
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activities, i.e., teaching and supervision of BSc and MSc student projects at DTU. We are looking for candidates with Strong skills in AI, Machine Learning, and/or Data Science, preferably with experience in