174 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" PhD positions in Denmark
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, or a related field. Have documented experience in some of the following: Computational materials modelling or quantum mechanical simulations (e.g. DFT, MD). Machine learning / deep learning (preferably
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about DTU Electro at https://electro.dtu.dk/ . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the
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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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be learned from these firms for innovation practice and theory. The research departs from the premise of the Danish Innovation Index: firm innovativeness can (and should) be assessed by those who
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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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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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-species interaction in gas–liquid bioreactor platforms. Deliver scientific excellence through high-impact publications, dissemination and outreach. Teach and develop courses at BSc and MSc levels in
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with local colleagues and be embedded into large international collaborations. You are expected to teach and take course appropriate for the graduate level at DTU. You must have a two-year master's
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vision here: https://www.sdu.dk/en/om-sdu/institutter-centre/fysik_kemi_og_farmaci/ominstituttet The Ph.D. candidate will be part of the Pharmacy section: https://www.sdu.dk/da/forskning/farmaci-sektionen
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in the group of Niels Engholm Henriksen (https://www.kemi.dtu.dk/english/research/physical-chemistry ). You must have a solid foundation and interests in quantum chemistry, applied mathematics