92 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Aarhus University in Denmark
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quality modelling, with focus on Knowledge-Guided Machine Learning. The position is a rewarding opportunity to be integrated in an excellent freshwater group. The department’s research and advisory
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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at midnight 23:59 CEST, with a starting date of 1 August 2026 or later. Read more about the open call and how to apply on our website here . Where to apply Website https://phd.nat.au.dk/for-applicants/apply
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implications for GGR and SRM deployment. (3) Identifying social acceptance and legitimacy, (4) Learning, diffusion and adoption in GGR and SRM technologies, (5) Implications for Sustainable Development Goals
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The Department of Electrical and Computer Engineering, Aarhus University, invites candidates to apply for a 34-month full time TAP (technical and administrative) position on research support and
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positions available in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying, you will be asked to indicate, which of the areas listed on the page above are of interest to you
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university, seeks top students for attractive PhD stipends. The call is open until 1 February, 2026, with the earliest start date, 1 May, 2026. Please find more details and apply at https://math.au.dk/en/about
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environment to its 37,000 students (FTEs) and 8.700 employees and has an annual revenue of EUR 1.106 billion. Learn more at www.international.au.dk/ Where to apply Website https://AU.emply.net/recruitment
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abroad. We also teach philosophy and history of ideas in combination with a minor subject, which qualifies students for teaching in Danish upper secondary schools. See more at https://kandidat.au.dk