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management and interdisciplinary collaboration, working alongside material scientists, environmental and resource engineers, and industry leaders in various EU and Danish innovation projects. Together, we will
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clinical collaborators. You will work closely with a multidisciplinary team of scientists and clinicians to translate research findings into practical solutions and start-up products for healthcare
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Job Description If you are building your career as a scientist and seeking the best foundation to achieve your dreams and ambitions, look no further. At DTU Energy, you will have the opportunity
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successful candidate will have previous experience in computer science or data science, with a PhD and publications in at least one of the following areas: Formal modelling and verification of business
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optics and a Ph.D. in physics, quantum information science, or a related field. Expertise in some of the following areas is expected: Expertise in quantum information processing, quantum optics, or related
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career paths at DTU here . Further information Further information may be obtained from Aasa Feragen, afhar@dtu.dk . You can read more about DTU Compute at www.compute.dtu.dk/english/about-us . If you are
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landmark database on university deep tech startups, carry out independent, high-quality research leveraging this data, and engage with stakeholders in the Danish and international deep tech arena
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starting date is 1 January 2026 or as soon as possible thereafter. The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be
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in topology optimization or related inverse design techniques. While this position does not involve developing AI models, it requires close collaboration with AI researchers to ensure data is
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processing quantum information. The memories must be optically active so distant nodes in a network can be entangled via single photons emitted by the memories. Erbium in silicon is currently subject to