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the Behavior, Rights, and Well-being research area, to which the PhD candidate will be affiliated. “Competition and Algorithms: adoption, impact and transparency” : The PhD project is embedded in a
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project, referring to FIS section 1.1 “Algorithms, metrics and models”, aims
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-preservation algorithms. The successful candidate will develop cutting-edge differential privacy techniques for large-scale models across multiple institutions. This position offers a unique opportunity to work
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modern machine learning, with broad implications for both theory and applications. The PhD project focuses on the theoretical foundations and algorithmic design of discrete gener- ative models, situated
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on the development of innovative tensor network methods to support the design, analysis, and optimization of quantum and quantum-inspired algorithms. Theoretical and computational tools will be developed
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exploitant un ordinateur quantique, fondés notamment sur les réseaux arithmétiques et les codes correcteurs — problèmes réputés robustes face aux algorithmes quantiques connus. Les instances génériques
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, they have the potential to solve certain computational problems far more efficiently than classical machines. Realizing this potential requires entirely new numerical algorithms that combine advances in
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algorithms that enable artificial agents to acquire skills through interaction (feedback) with humans. The objectives include: the development of reinforcement learning algorithms; possibly the study of
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The job information is shown below. Please click on the links to see full details. Applications are invited for the position of Research Fellow in Algorithmic Sensing for Music to create a new
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of renewable energy sources, with a focus on wind and solar power plants. By integrating meteorological observations, high-resolution numerical models and machine learning algorithms, highly accurate forecasts