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) and Technical University of Denmark (DTU) aims at understanding and designing noble metal clusters in the non-scalable regime to enable exceptional catalytic performance for e.g. methane and ammonia
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Job Description Do you want to grow as a scientist and become a microbiome researcher at the best technical university in Europe? Do you want to hone your scientific skills and use programming
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group specializes in experimental quantum technologies spanning quantum information processing, quantum communication, and precision sensing. In this PhD project, you will work at the forefront of solid
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Job Description Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this position might be perfect for you. We are seeking a data scientist
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components are in use. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process
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experimentation with Asst. Prof. Eli N. Weinstein. Your goal will be to develop fundamental algorithmic techniques to overcome critical bottlenecks on data scale and quality, enabling scientists to gather vastly
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advancing your scientific career at a leading research institution. You will join two research groups at the DTU National Food Institute, Technical University of Denmark: “Food Production Engineering” and
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. The project will be supervised by Associate Professor Martin Hansen (DTU Sustain), and co-supervised by Professor Hans Peter Arp (NTNU Chemistry), Senior Scientist Anna Rosenmai (DTU Food), Veerle Jaspers (NTNU
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employees and it is located at the Lyngby Campus of the Technical University of Denmark together with 19 other institutes within the technical sciences. DTU Space is the leading institution of public space
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our international, interdisciplinary research team with daily workplace at DTU-Bioengineering, but frequent contact with our external collaborators. This is partly other CORC scientists, but also people