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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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-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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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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research agenda that connects Techno-Anthropology and Health Informatics. The research could, but not limited to, include development of sociotechnical approaches to exploring the intricacies of human-robot
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. The Postdoc project is headed by Professor Kim Lambertsen Larsen and is co-supervised by Associate Professor Thorbjørn Terndrup Nielsen. The project is funded by the Villum Experiment Programme that supports
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leading 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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reasons for applying, qualifications relevant to the position, and intentions and visions for the role. An up-to-date curriculum vitae. Copies of relevant diplomas(Master of Science and PhD). Official
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Postdoc in statistics to develop Bayesian privacy metrics for synthetic health data (2024-224-05725)
. Qualification requirements: You should hold a PhD degree in computer science, statistics, physics, mathematics, engineering, or a field of science relating to data science with emphasis on statistical
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Technical Doctoral School of IT and Design in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational