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scale and the sample scale. - Establish links between microstructure and mechanical properties, by combining experimental and numerical approaches, with the aim of optimizing material performance. Within
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, numerical optimization) applied to an engineering problem, preferably in your master's thesis. Prior exposure to (projective) geometric algebra is a plus but not expected - willingness to master new
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Description Job description Game theory is rapidly gaining traction in several engineering applications as the natural framework for multi-agent decision making. Yet, unlike optimization, game theory has
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-centric micromanufacturing technologies for next-generation healthcare and MedTech applications. The project offers the possibility to pursue the PhD within the network at different universities and
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Are you fascinated by application-oriented research in mathematics and eager to work at the interface of numerical optimization, optical design, and uncertainty quantification? In this PhD project
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. Ability to analyze and understand financial matters from multiple perspectives, in order to understand the impact on multiple areas and determine the optimal solution, ability to balance different interests
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journals and presentations at conferences. - Collaboration with interdisciplinary research teams as part of the CERTAINTY project. - Optimization and documentation of modeling configurations for future
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for pricing complex derivatives and risk measurement, numerical optimization algorithms for portfolio optimization and calibration of financial models. We will focus on practical applications to real-world
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them as programmable resources for encoding, transporting and processing quantum informa- tion. AI is employed not merely as a numerical optimizer, but as a framework for discovering control protocols
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, and Large Language Modelling (LLM). Conduct extensive numerical experiments to validate and evaluate the performance of the proposed models. Present research results as academic papers and reports