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Norway, and Wood group in UK. The preferred candidate should have the following qualifications: Experiences with chemical analysis and pilot experiments is an advantage Data analytical skills and computer science
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Creativity Support in Generative AI The position is open for appointment as of October 2026, or soon hereafter. The position is a three-year role, located in the Department of Computer Science
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PhD position in detector development for the next generation of cryogenic dark-matter axion exper...
well as to theoretical physicists in the Department of Mathematics and Computer Science. Essential qualifications include a strong motivation for fundamental research a solid background in particle physics experience with
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2 Sep 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Physics Research Field Physics Engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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who are internationally recognized experts in statistical genetics, epidemiology, and artificial intelligence. Applicants should have: A master’s degree in statistics, biomedical engineering, computer science
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a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and
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Application Deadline 18 Oct 2026 - 23:59 (Europe/Copenhagen) Country Denmark Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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supervisor is Prof. Serafim Bakalis, Department of Food Science, E-mail: [email protected] , Direct Phone: +45 93 56 56 81. Qualifications needed To be eligible for the regular PhD programme, you must have
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Application Deadline 16 Oct 2026 - 23:59 (Europe/Copenhagen) Country Denmark Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D