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applications of candidates from a wide range of backgrounds from theoretical physics to pure mathematics. Candidates with experience in tensor network algorithms, rigorous statistical mechanics, probabilistic
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Institut des Hautes Études Scientifiques | Bures sur Yvette, le de France | France | about 15 hours ago
applications of candidates from a wide range of backgrounds from theoretical physics to pure mathematics. Candidates with experience in tensor network algorithms, rigorous statistical mechanics, probabilistic
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quantum dots. In particular, based on our recent result in small arrays, we aim at exploiting coherent control of spin qubit in larger arrays to perform quantum simulation or algorithm. Therefore
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18 Nov 2025 Job Information Organisation/Company CNRS Department VERIMAG Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Country France
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address domain-specific challenges in biomedical applications. The PhD project will focus on translating and enhancing cutting-edge algorithms from AI research into concrete applications in biomedical
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Participate in the integration of Generative Artificial Intelligence algorithms and the enhancement of the recommender system. Is Your profile described below? Are you our future colleague? Apply now! Education
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• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
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réseaux neuronaux) et les décompositions tensorielles (multicouches) de rang faible [5,6,7], qui fournissent un cadre mathématique rigoureux pour développer des nouveaux algorithmes et architectures et pour
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P2S2 project aims at developing parton-shower algorithms with unprecedented (logarithmic) accuracy for jet substructure at the LHC. The project also has connections with analytic resummations and studies
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optimization. Knowledge in algorithms for sampling/variational inference and kernel methods will also be welcome. Interest or experience in differential geometry, optimal transport, and remote sensing