173 machine-learning "https:" "https:" "https:" "University of St" PhD positions in Norway
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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 Fundamental contributions in embodied AI
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https://www.jobbnorge.no/en/available-jobs/job/296771/phd-candidate-in-parasite… Requirements Research FieldBiological sciences » BiologyEducation LevelMaster Degree or equivalent Additional Information
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centered around a unique, open-source digital platform enriched with data and powered by domain knowledge-based advanced machine learning and artificial intelligence capabilities. By introducing a Digital
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. The project’s PI is Associate Professor Iselin Åsedotter Strønen. For more information about the project, see https://www4.uib.no/en/research/research-projects/invisible-women-of-the-sea-gendering-fishery
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. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier
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Participate in the research group “Engineering Geology and Rock Mechanics” and FME RenewHydro (https://www.ntnu.edu/renewhydro ) Participate in international activities such as conferences Contribution in
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publications Cross-cultural experience Documented level A2 in Norwegian, Swedish or Danish or the willingness to acquire Norwegian Experience from popularization/dissemination and academic policy and
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to the C1 level here . Personal characteristics To complete a doctoral degree (PhD), the candidate is expected to: Demonstrate strong motivation, curiosity, and a learning-oriented mindset Work independently
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Physiology, Internal Medicine Secondments : - University of Bergen (N): To screen and characterise patients with PAI. - University of Manchester (UK): To learn mathematical modelling of hormone rhythms
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advertisement Job description A three-year PhD fellowship in Neuroscience is available in the group of Dr. Matthijs Dorst (https://dorst-lab.org/ ), with co-supervision by Associate Professor Koen Vervaeke (https