239 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs in Denmark
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academia and with clinical or industrial partners. Teach and supervise at the BSc, MSc, and PhD levels. Contribute to DTU Bioengineering’s research environment, including shared infrastructures
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an analytical laboratory (e.g. performing enzyme assays, chromatography, water quality analyses) An interest in learning new techniques Good analytical skills and communication abilities in English As a formal
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dependable. You find enjoyment in working with data, learning new techniques, and applying them in rigorous ways. Ideally, you are at the end of your Bachelor, or start of your Master programme. In terms
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at two geographical locations in Aarhus and Roskilde. The Section for Biodiversity is situated in Aarhus and employs about 25 staff members. For more information on the Department see: http://ecos.au.dk/en
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levels of university education is essential. Accordingly, a successful candidate must be able to teach all topics of introductory chemistry courses. Teaching can be in Danish and English, depending
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, please contact the head of the Geotechnics and Geology section at DTU Sustain, Associate Professor Eyal Levenberg: eylev@dtu.dk You can read more about DTU Sustain at https://sustain.dtu.dk/ If you are
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and reflects our values of respect, trust, recognition, and professionalism. Learn more about the Department here and the Faculty of Health here . Your job responsibilities Your primary tasks will be
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research activities and to Aalborg University’s long-standing tradition of Problem-Based Learning, which encourages student engagement through project work and real-world analytical challenges. We strive
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individual psychological approaches to learning, development and well-being in infancy/early childhood as well as in family, day-care and school contexts. The selected applicant should preferably be able
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are seeking a candidate for a vacant position as Tenure Track assistant professor in AI and machine learning to develop a novel research area within the use of agentic AI models for improved analyses of whole