138 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions in Norway
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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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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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at an international level an assurance that the PhD candidates complete their degrees within the nominal length of study an attractive and good learning environment for PhD candidates The programme
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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
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must have an academically relevant education corresponding to a five-year master’s degree or a cand.med.vet. (veterinary) degree, with a learning outcome corresponding to the descriptions in
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the nominal length of study an attractive and good learning environment for PhD candidates The programme offers several courses and candidates from other programmes may apply for admission to the individual
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characteristics To complete a doctoral degree (PhD), the candidate is expected to: demonstrate strong motivation, curiosity, and a learning-oriented mindset work independently, take initiative, and maintain good
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critically and will work both independently and collaboratively within the project consortium. You should enjoy interdisciplinary research and take keen interest in learning and working as part of