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insurance companies), hospitals and pharmacies. Notably, we place particular emphasis on a quantitative modeling (e.g. using mathematical concepts from game theory, stochastic optimization) approach towards
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in which DSO Alliander will work together with the TU/e departments of Electrical Engineering (Electrical Energy Systems group) and Mathematics & Computer Science (Interconnected Resource-aware
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in which DSO Alliander will work together with the TU/e departments of Electrical Engineering (Electrical Energy Systems group) and Mathematics & Computer Science (Interconnected Resource-aware
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in which DSO Alliander will work together with the TU/e departments of Electrical Engineering (Electrical Energy Systems group) and Mathematics & Computer Science (Interconnected Resource-aware
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the activities of the group please check http://tue.nl/em/ Job requirements A master’s degree (or an equivalent university degree) in electrical engineering, applied physics or applied mathematics, with proven
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Engineering, Aerospace Engineering, or Mechatronics, A very strong analytical background, with solid mathematical skills in control theory and excellent problem-solving abilities for electrical drive systems
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and societal norms. To this end, it will be necessary to not only consider mathematical and technical details, but also relevant insights from e.g. psychology of human decision-making, regulation
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with experts in AI, healthcare, and industry. Job requirements A master's degree (or an equivalent university degree) in Computer Science, Mathematics, Machine Learning or a related technical field
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integrated. Job requirements You have experience with or a strong background in applied mathematics, physics and computational engineering. Preferably, you finished a Master’s program in the areas
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Responsibilities: Conduct comprehensive grid modelling studies to assess grids capacity and resilience in the context of evolving energy systems. This will involve developing mathematical models of distribution and