167 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" PhD positions in Norway
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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- University of Oslo
- University of Bergen
- OsloMet
- Molde University College
- UiT The Arctic University of Norway
- Western Norway University of Applied Sciences
- NORCE Norwegian Research Centre
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
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- University of South-Eastern Norway
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outcomes and economic performance, specifically addressing challenges such as overdiagnosis in cancer care. We will utilize economic theory, simulation, economic evaluation and machine learning to quantify
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(predictive) modelling, for example machine learning approaches. Experience in conducting field work in polar or alpine regions. Strong and preferably demonstrated interest in interdisciplinary work at the
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while offering flexibility to tailor your training to specific needs and interests through elective courses and secondments. • Blended Learning Approach: Our training combines intensive in-person
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, will analyse the impact of blockades on households, states, corporations and the international order; on the development of political and military strategy; on how the wars were prepared, experienced and
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interconnectedness have fundamentally altered the landscape in which organizations and their projects must now operate. The result is a VUCA world, a term borrowed from military strategy, where Volatility, Uncertainty
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with machine learning or other relevant AI technologies Scandinavian language skills Previous experience from industry or research in engineer-to-order manufacturing. This can be proven by the attendance
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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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AI technologies—foundation models, generative design tools, agent platforms, reasoning engines, and reinforcement learning—can be adapted and extended for maritime design challenges. The final research
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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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conducted according to national guidelines for University and Technical College PhD scholars, and in accordance with the Civil Servant Act, the Security Act, and the Export Control Act. Interested in learning