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Field
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inquiry are seen as active agents in both the research process and its outcomes. Therefore, this doctoral program emphasizes the ongoing dialogue between theory and practice in the arts, highlighting
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deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy infrastructures, or urban energy applications is a strong asset. You are self-driven, creative
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of the following areas: Robotics Control theory Deep Learning & Machine learning Modelling and control of soft/continuum robots Experience with embedded systems programming (Preferably) with a strong background in
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/ Condensed Matter Theory , Elementary Particle Theory , Field Theory , hep , hep-lat , hep-ph , hep-th , High Energy Physics , high energy physics or mathematical physics , High Energy Theory , Lattice Field
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guidance of the promotor and supervisor. This entails the set-up of the research, the selection of methods and theories, data collection and analysis. Given the nature of the question, the researcher is
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the Public Administration and Governance unit, and explore issues that investigate and address whether and how AI technologies challenge traditional legal concepts, principles and theory. Examples include
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, and theory groups to optimize water electrolysis using the knowledge obtained in the project The following publications are related to the work to be performed within this project: doi.org/10.1039
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strategies will be modeled to determine prices and resource exchange policies. To this end, continuous game theory will be implemented to generate compensation strategies among the actors associated with
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Governance unit, and explore issues that investigate and address whether and how AI technologies challenge traditional legal concepts, principles and theory. Examples include legal questions concerning
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using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out the methods and