677 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions in Denmark
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contain well-informed methodological considerations. To find out more about the department please go to https://www.cbs.dk/si . Project topics SI particularly invites for PhD project applications pertaining
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Applications are invited for a postdoctoral position in the group of Dr Aleksandr Gavrin ( https://mbg.au.dk/a-gavrin/ ) at the Department of Molecular Biology and Genetics, Aarhus University
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power systems https://cordis.europa.eu/project/id/101227683 ) consortium unites leading experts from academia and industry across Europe, leveraging expertise in wind energy, power systems, power
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. You are driven by scientific curiosity, enjoy working with complex multi-physics models, and are eager to advance probabilistic methods, machine learning tools, and simulation techniques. If you thrive
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Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) • Strong programming skills (e.g., Python) • Strong skills in machine learning, deep learning and modern
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including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic
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well as at the Faculty of Health and Medical Sciences: https://healthsciences.ku.dk/research/corefacilities/. Driving Discoveries towards Stem Cell-Based Therapies and Regenerative Medicine reNEW is committed
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-efficient, open-loop optimisation of fermentation control profiles, building on recent theoretical developments in optimal control theory, reinforcement learning and numerical methods as well as laboratory
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-standing tradition of Problem-Based Learning, which encourages student engagement through project work and real-world analytical challenges. We strive to offer students a solid analytical foundation in
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and the state (AC collective agreement) (in Danish) Where to apply Website https://aau.varbi.com/en/what:job/jobID:895183/type:job/where:39/apply:1 Requirements Additional Information Work Location(s