67 mechanical-engineering PhD positions at Technical University of Denmark in Denmark
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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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helping your colleagues. The group is part of the Section for Experimental and Translation Immunology at the Department of Health Technology . Our section has all the necessary infrastructure and comprises
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Job Description We invite applications for a fully funded 3-year PhD position in the Embedded Systems Engineering (ESE) research section at DTU Compute in collaboration with the Technical
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. The starting date is according to mutual agreement. You can read more about career paths at DTU here and the Department of Electrical and Photonics Engineering here . Further information Further information may
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fostering a creative and successful academic environment. DTU Electro has 350 employees and span activities in physics, photonics, and electrical engineering. Research is performed within nanophotonics
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background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted
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background in Computer Science, Informatics Engineering, Mathematical Modeling, Computational Urban Science, Transport Modeling or equivalent, or a similar degree with an academic level equivalent to a two
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irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export
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of technology, contribute to maritime security, or lead innovations in the growing field of autonomous systems, this PhD position will equip you with the skills, knowledge, and experience to succeed. If you are
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics