40 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" scholarships at Technical University of Denmark
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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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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
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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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-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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position. You can read more about career paths at DTU here . Further information Further information may be obtained from Assistant Professor Melisa Benard Valle, melval@dtu.dk https://orbit.dtu.dk/en