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, efficient, and adaptive energy infrastructures at local level. By leveraging data-driven methods, cities can devise strategies that balance energy supply and demand, improve electricity grid flexibility, and
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Research Leader CogniGron (1.0 FTE) (V25.0235) « Back to the overview Job description Do you want to play a crucial role in developing the next generation of computer technology? At CogniGron, a
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a recent Master’s degree in Applied Mathematics, Mechanical Engineering, Electrical Engineering, or another relevant field, with specialization in systems and control theory. Have a strong background
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fundamental research in systems and control theory. Have a recent Master’s degree in Applied Mathematics, Mechanical Engineering, Electrical Engineering, or another relevant field, with specialization in
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of the Faculty of Science and Engineering (FSE) at the University of Groningen. The University of Groningen, established in 1614, is one of the oldest and largest research universities in
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researchers mimic in the laboratory to engineer tailor-made (bio)molecules that aid us in combating diseases and in realizing a sustainable economy. While effective, such directed evolution campaigns are not
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fundamental research in systems and control theory. - Have a recent Master’s degree in Applied Mathematics, Mechanical Engineering, Electrical Engineering, or another relevant field, with specialization in
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
, Technology and Culture, Knowledge Infrastructures and Sustainable Health. In the summer of 2019, Campus Fryslân has moved to the new faculty building De Beurs: the first all-electric, monumental educational
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+ 1 Postdoc + undergrad students) at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, the PhD student is in charge of data-driven model reduction. This includes
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is in charge of data-driven model reduction. This includes three parts: (1) heuristic approaches (symbolic regression), (2) non-intrusive data-driven approaches (Proper Orthogonal Decomposition, neural