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the EU Research Framework Programme? Horizon Europe Reference Number 101167183 Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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The position An exciting PhD position is available at the Department of Computer Science at UiT The Arctic University of Norway. The position is associated with the Visual Intelligence centre of excellence in
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 13 hours ago
candidate would begin by June 2026. Qualifications Minimum Qualifications: A PhD in Psychology or related fields is required by the start of appointment. Candidates will be evaluated on experience in
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
). The position is for a period of three years. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and
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on Smart Fibre-Optic High-Power Photonics (HiPPo). The HiPPo programme (https://www.hippo-laser.co.uk/ ) is focused on understanding how to control the properties of fibre lasers, to go beyond the “fixed
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, jointly supervised by Dr. Peter Zandstra and Dr. Fabio Rossi, focused on advancing our understanding and engineering of the immune system across the lifespan. This role is part of a broader vision to
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medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related