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The recruited engineer will be co-supervised by MdS and Joliot to implement this new approach. To achieve a portable, efficient code that fully exploits GPUs, the core of the code will be developed
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avenues to increase the function of relevant DCs subsets to increase the formation of tissue, resident, long lasting memory T cell responses. This project will be developed in the context of an influenza
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developed by our team [1,2] are able to: 1) identify exploitable vulnerabilities at the software level based on these interactions between a software and a microarchitecture, or 2) formally prove the security
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revisit discretization methodologies in view of modern requirements and computational capabilities. The candidate will focus on developing mesh generation algorithms meeting the following criteria
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and interpretation. Prominent examples include time sequences on groups and manifolds, time sequences of graphs, and graph signals. The objectives The project aims to develop unsupervised online CPD
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schools History News 2025 School Introduction Registration Program Committees Sponsors Contact Repository Lectures by topic Lectures by author Search lectures 2024 2023 2022 2021 2020 2019 2018 2017 2015
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addition, this role also offers the opportunity to develop independent research projects aligned with the group’s overarching goals. You are expected to learn and implement innovative techniques, participate
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motivated the development of Federated Learning (FL) [1,2], a framework for on-device collaborative training of machine learning models. FL algorithms like FedAvg [3] allow clients to train a common global
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] and taphonomy of animal bones [Cifuentes-Alcobendas and Dom´ınguez-Rodrigo, 2019] are gradually intensifying. Thus, the present PhD project is an opportunity for the development of original ML solutions
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, you will be a member of a team of 8 to 10 energy system modelers. You will contribute to the development, maintenance and use of our linear programming-based dispatch and unit commitment model of the EU