121 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD scholarships in Norway
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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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Knowledge about energy systems, especially the operational characteristics of renewable energy production (wind/solar) and batteries Knowledge and interest in applying AI/machine learning to time-series data
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, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier. Duties of the position Complete your doctoral education leading
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energy applications. You must have experience with data analysis, machine learning, or AI-supported methods applied to engineering or safety problems. PLEASE NOTE: For detailed information about what the
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, you can expect: An attractive and supporting learning environment Participation in research groups Close supervision Skilled supervisors Excellent job prospects The programme is administered by
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Innovation, SFI-CELECT (Research Centre for Effective Engineering and Learning in Complex Systems) . The positions are 3-year doctoral research fellowships starting in 2026. The PhD candidates will be embedded
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career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The Research
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that the PhD candidates complete their degrees within the nominal length of study an attractive and good learning environment for PhD candidates The programme offers several courses and candidates from other
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introduce fundamental challenges related to guidance, control, coordination, and human–machine interaction. This PhD position addresses these challenges through the development of high- Technology Readiness
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with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. University of Bristol (UK): To learn mathematical modelling of hormone rhythm
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-year master’s degree or a cand.med.vet. degree, with a learning outcome corresponding to the descriptions in the Norwegian Qualification Framework, second cycle. The applicant must have a documented