15 computational-scientist "Technical University Of Denmark" PhD positions in Denmark
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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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team, you will work alongside 50 talented scientists, engineers, and students. Our research center is supported by major foundations and agencies including the Danish National Research Foundation, Novo
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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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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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. 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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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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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
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interaction with the other PhDs/Postdocs and more senior scientists within the MicroAM project. Responsibilities and qualifications If you are interested in numerical simulations of advanced manufacturing
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scientists covering a broad range of expertise in photonics and electronics. The Project in Short The project focuses on developing numerical modeling and optimization tools to explore the information