336 machine-learning-"https:" "https:" "https:" "UCL" "UCL" Fellowship positions in Norway
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- University of Oslo
- UiT The Arctic University of Norway
- University of Bergen
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- University of Agder
- NTNU Norwegian University of Science and Technology
- University of Inland Norway
- CICERO Center for International Climate Research
- CMI - Chr. Michelsen Institute
- Høgskulen i Volda
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and PhD students. The research groups conduct research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as
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of Oslo that spans molecular, cellular, and systems-level approaches. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/295465/postdoctoral-research-fellowship-in
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machine learning. Colourbox via Unsplash Colourbox What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities
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machine learning techniques to develop emulators for the theoretical predictions of various observables as function of cosmological parameters. The candidate will develop and use skills in topics such as
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for Global Sustainability. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294034/phd-research-fellow-in-statistical-population-ecology Where to apply Website https
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and project-based learning. Secondments, consortium meetings, and workshops will provide hands-on experience in collaborative modelling, scientific synthesis, and science-policy engagement—central to
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teaching and learning. The Faculty consists of six departments as well as a Faculty administration. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/296315/postdoctoral-fellow-in-mo
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. About the Department The Department of Foreign Languages (https://www.uib.no/en/fremmedsprak ) offers study programmes in Arabic, English, French, Italian, Japanese, Chinese, Russian, German, Spanish and
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hazards, enhancing asset protection, maritime security, emergency preparedness, and societal resilience. The project will leverage advanced AI and machine learning techniques to enable predictive risk
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, causal inference, and machine learning to study real-world treatment patterns, effectiveness, and safety of monoclonal antibodies (mAbs) used in autoimmune, inflammatory, and neurological diseases. Using