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Irène Curie Fellowship No Department(s) Mathematics and Computer Science Reference number V32.7423 Job description We are excited to offer two PhD opportunities within the EU-funded SmartEM project
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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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skills, mathematical skills, and quantitative modeling. Ability to function within a large and diverse project team, including industry. Fluent English skills, both written and spoken (C1 level); Interest
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Irène Curie Fellowship No Department(s) Mathematics and Computer Science Reference number V32.7331 Job description Would you like to contribute to preventing large-scale failures or congestion in
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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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, 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 & standardization of explainability
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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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enthusiastic colleague with a MSc-degree in electrical engineering, with a strong affinity with power electronics, the realization thereof, state-of-the-art digital control, and mathematics. The candidate should
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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