201 assistant-professor-computer-"https:" "https:" "https:" "https:" "EURAXESS" PhD scholarships in Norway
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clinical risk factors? 4. How can prediction models be validated to ensure they are trustworthy and reliable for integration into living digital decision aids at the point of care? About the PhD program The
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, transparency, engagement, reliability, and respect. About the department The Arctic geology department constitutes 3 professors, 5 associate professors, 2 researchers, 4 PhD students, 6 adjunct professors and 1
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operations by floating vessels, as well as use in online DSS solutions for tactical planning. Your supervisor will be Associate Professor Marit Kvittem and your immediate leader will be the Head of
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, failures and performance degradations can cascade across domains and slices, and platforms are often multi-vendor with different APIs and data formats. At the same time, GenAI and Agentic AI can help
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will work with researchers, power system operators, and experts from both academia and the power industry. The PhD main supervisor for the PhD is Professor Kjetil Obstfelder Uhlen , and the co-supervisor
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performance under various conditions, among them variable irradiance, temperature changes, soiling, short- and long-term load fluctuations, and unexpected events. The main supervisor will be Associate Professor
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relevant Engineering discipline, or a related field. Foreign degrees must correspond with the admission criteria for the PhD program. Candidates submitting MSc thesis within 30. June 2026 may be considered
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physiology and breeding. The main goal for the PhD project is to help elucidate the environmental and genetic control of maturation in faba bean under Norwegian growing conditions. Faba bean has gained
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, reliability, and respect. About the department The Arctic Geophysics department constitutes 5 professors, 3 associate professors, 3 researchers, 4 PhD students, 5 adjunct professors and 2 technicians
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to MINA’s PhD programme. The documentation that is necessary to ensure that the admission requirements are met, must be uploaded as an attachment. Main tasks Develop machine learning models to produce forest