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improved health and sustainability, urban planning policy and guidance need to set clear goals and visions for walking for all. This project is a part of the Research Program for Walking (Financed by
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Subject description This position will be linked to the project: Insect
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with Artificial Intelligence (AI
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international professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ Specifically, the position is part of a cross-disciplinary, so called, WASP
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested developing new machine learning methods for precision medicine and
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: Help develop a non-invasive computer vision method to track and analyze how hens move in 3D space. You will gain hands-on experience in behavioural studies, animal welfare science, and innovative data
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legitimacy. WASP-HS The PhD position is part of the Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS). The vision of WASP-HS is to foster novel interdisciplinary knowledge
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. Qualifications To be eligible for a PhD position, you must: Hold, by the starting date, a Master's-level degree corresponding to at least 240 higher education credits in Computer Science and Engineering or a
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position The position provides you with the opportunity to pursue PhD studies in Computing Science for four years, with the goal of achieving the degree of Doctor in Computing Science. While the position is
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Swedish. Place of work You will be based primarily at SLU in Umeå but will spend one fifth of your time at Skogforsk, primarily in Uppsala. Forms for funding or employment PhD position at SLU with 80% study