65 data-scientist Postdoctoral positions at Technical University of Denmark in Denmark
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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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main workplace will be at DTU Lyngby Campus. You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Niels B. Larsen at nibl@dtu.dk . You
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about career paths at DTU here . Further information Further information may be obtained from Professor Yifeng Zhang (yifz@dtu.dk), and the section head Wenjing (Angela) Zhang (wenz@dtu.dk). You can read
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to mutual agreement. You can read more about career paths at DTU here . Further information Further information may be obtained from Head of Department, Professor Kim Dam-Johansen, tel.: +45 4525 2845, kdj
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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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- Familiarity with method development, data processing software, and QA systems - Knowledge of ISO17025 accreditation processes - Good English communication skills (written and verbal) - Experience with sample
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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