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. This includes the use of Machine Learning (ML) and Artificial Intelligence (AI) methods. Project description The PhD project will be focused on developing, assessing, and comparing traditional and modern ML and
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researchers’ employment by AU . Please find more information about entering and working in Denmark here: http://international.au.dk/research/ An appointee who does not speak Danish will be required to acquire
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at: http://mgmt.au.dk . Further information Application deadline: October 12, 2026. Workplace: Universitetsbyen 61, 8000 Aarhus C. Hours per week: 37 The minimum length of employment as research assistant
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information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2026/niels-van-berkel/. Your competencies You hold, or will
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dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders
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cultures, cloning, biochemistry, genetics Lab management skills Communication and/or language skills in English and Danish Personal skills Who we are Visit the Sun lab's website to learn more about the lab
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
full project description here, including a detailed description of SPs and WPs: https://pure.au.dk/portal/da/projects/human-ai-collaboration-imaginaries-interventions-interfaces . Information about the
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consist of the PI, one postdoc and one PhD. Read more about the project here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2025/mathias
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career scientific staff Fieldwork experience Experience with public and private sector consultancy (or similar) We further wish to learn more about your visions and ideas for developing the research field
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of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available for appointment from November 1, 2026, or as soon as possible thereafter