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20 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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science, data science, applied mathematics, physics, materials science, or a related field. Solid background in machine learning and/or computer vision. Interest in representation learning, active learning
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criteria: Research experience Experience and quality of teaching Research vision and potential International impact and experience Societal impact Innovativeness, including commercialization and
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for admission to a PhD programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an attachment. Main tasks Two or three elements out
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, engineering design, artificial intelligence, computer science, with good skills in mathematics, programming, and applied AI. Candidates with strong AI and programming skills and a demonstrated interest in
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based university with a
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district-wide universal offer for children and young people’s physical activity in Bradford. The studentship is embedded within Join Us Move Play, Bradford’s Local Delivery Pilot (LDP) programme , funded by
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based university with a
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A funded PhD position at SDU Physics - Interdisciplinary research within experimental soft matter...
strength that ensures our research and education are recognized both nationally and internationally. Our vision is to create and apply knowledge across the natural sciences. We are unique in housing research
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environmental quality of the built environment. Vision We are seeking a highly motivated PhD candidate to investigate the sustainability and biodiversity benefits of urban green space interventions. Working with