117 Computer Science "https:" "https:" "https:" "https:" "https:" Fellowship positions in Norway
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, Informatics, or a related discipline. A strong academic record is required, corresponding to a weighted average grade of B or higher. Experience with computational fluid dynamics (CFD) simulations is highly
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(HPLC, LC-MS, and GC), as well as computational tools. An integral part of the work will be the integration of biological data with medicinal chemistry principles to identify the most promising molecular
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drone lab on behalf of the entire faculty of Mathematics and Natural Sciences (https://www.mn.uio.no/geo/english/research/about/infrastructure/facilities/observations/geosciences/the-drone-infrastructure
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of Mathematics and Natural Sciences (https://www.mn.uio.no/geo/english/research/about/infrastructure/facilities/observations/geosciences/the-drone-infrastructure-laboratory/ ). The position is embedded in a
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degrees and a doctoral program in Health, Functioning and Participation. Western Norway University of Applied Sciences, Faculty of Health and Social Sciences (FHS), has a vacancy for PhD Research Fellow in
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condition that the person who accepts the position applies for and is granted admission to the Faculty’s PhD-program in Technology within three months of starting in the position. The doctoral programme
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to a Norwegian doctoral degree (PhD) within Marine engineering, applied mechanics, physics, computer science or similar fields; or must have submitted his/her doctoral thesis for assessment prior
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7 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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applications for a PhD Research Fellow position in fairness in artificial intelligence, available at the Department of Informatics, in the Scientific Computing and Machine Learning (SCML) research group
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(HPLC, LC-MS, and GC), as well as computational tools. An integral part of the work will be the integration of biological data with medicinal chemistry principles to identify the most promising molecular