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computer vision. Our marine environments are under pressure from rising temperatures, eutrophication, fishing activities, and more. This leads to a decline in biodiversity, destruction of habitats, and
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of novel computer vision methods capable of robustly detecting AUs. Next, the focus will be on novel AI methods for classifying normal vs. pain vs. stress faces. Lastly, head pose detection of horses in
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interdisciplinary collaborations within Responsible AI A PhD degree within a technical field of AI, e.g. computer vision or NLP Proven-records in peer-reviewed publications within technical AI Strong English
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Nordisk Foundation Data Science Collaborative Programme,“Synthetic health data: ethical development and deployment via deep learning approaches(SE3D)” which is a collaboration between Head of Center and
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Engineering Science and Sustainability under the auspices of UNESCO(UCPBL). The researcher will be working in a cross-disciplinary team of researchers, who are committed to the vision and mission of the Centre(https
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Starting Date 1 Aug 2024 Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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workshop and laboratory facilities, where research and innovation are carried out in direct collaboration with industry to a great extent. The position is offered in relation to the research program
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-supervision of PhD students and postdocs. Collaboration with industry and public institutions. Participation in programme/organizing committees, editorial boards, peer-reviewing. Research stay(s) at another
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, incl. Medicine, Medicine with Industrial Specialisation, Biomedical Engineering and Informatics, and Pain Science and Multidisciplinary Pain Management. You will be affiliated with the Neural Engineering
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at scientific conferences. Computer and other practical office necessities. Guidance on re-location to Aalborg, Denmark. Who are you? CNAP requests talent CNAP recruits highly qualified and committed postdoctoral