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English Join the University of Oslo as a Postdoctoral Research Fellow in AI and epidemiology, shaping global health solutions! Postdoctoral Research Fellow in Machine Learning and Artificial Intelligence in
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Norwegian University of Life Sciences (NMBU), within the Faculty of Science and Technology(REALTEK), invites applications for a PhD position in Applied Causal Machine Learning. The position is affiliated with
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This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can...
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English PhD Research Fellow in AI for Rehabilitation and Motor Learning Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow in Adaptive AI
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UiO/Anders Lien 16th July 2026 Languages English English English PhD Research Fellow in AI for Rehabilitation and Motor Learning Apply for this job See advertisement About the position We invite
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Integreat in Norway! Eight PhD fellowships in machine learning await. Collaborate, innovate, and thrive! PhD Fellowships in Knowledge-Driven Machine Learning in Norway (8 positions) Apply for this job See
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UiO/Anders Lien 9th August 2026 Languages English English English Join Integreat in Norway! Eight PhD fellowships in machine learning await. Collaborate, innovate, and thrive! PhD Fellowships in
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UiO/Anders Lien 12th November 2026 Languages English English English Are you interested in Collaborative Learning and Artificial intelligence (AI) in higher education? Apply now! Postdoctoral Fellow
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intelligence. The position is for a period of 3 years and is associated with the AI LEARN centre. About AI LEARN AI LEARN is a new national interdisciplinary and cross-sectoral initiative. The centre aims to
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to characterize forests and their biodiversity. The research will focus on developing multimodal learning approaches that combine complementary forest information across data sources, spatial scales, and time. A