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of the convergence properties and efficiency (assessed through complexity bounds) of optimization methods for the solution of bilevel problems, with applications to quantitative finance and business decision-making
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collaboration with the University of Zurich. Mission The researcher will integrate, optimize, and stabilize the RNb-NeuS neural 3D reconstruction method within the AliceVision software architecture, enabling
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, devoted to the study of the singular structures of measures arising in Geometric Analysis, Optimal Transport, and Geometric Measure Theory. The aim is to develop new tools to describe the fine geometric
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, devoted to the study of the singular structures of measures arising in Geometric Analysis, Optimal Transport, and Geometric Measure Theory. The aim is to develop new tools to describe the fine geometric
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, devoted to the study of the singular structures of measures arising in Geometric Analysis, Optimal Transport, and Geometric Measure Theory. The aim is to develop new tools to describe the fine geometric
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, devoted to the study of the singular structures of measures arising in Geometric Analysis, Optimal Transport, and Geometric Measure Theory. The aim is to develop new tools to describe the fine geometric
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research will consist in the optimization of an apparatus
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of Applied Mathematics and Statistics at the Department of Mathematical Sciences. Under the supervision of Malin Rau, you will contribute to impactful research in optimization. About us The department of
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examines how digital twins, simulation-based multi-objective optimization, and AI-driven decision support systems can enable manufacturing industries to maintain stable production, optimize energy usage, and
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. Through advanced Machine Learning and Deep Learning technologies, it seeks to automate agronomic processes, optimize resource use, and maximize production in a sustainable way. Main duties Design