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) at the Laboratoire de Mathématiques de Bretagne Atlantique (LMBA, UMR 6205 CNRS UBO). The thesis will be co-supervised by: Julien Balicchi (Engineer, Head of the Studies and Statistics Department at ARS Mayotte
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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
learning (noise robustness, statistical generalisation) with those of symbolic AI (explainability and logical reasoning). The objective of this thesis is to study the contribution of neuro-symbolic
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on leptonic boson decays, where the polarization information can be directly reconstructed from the decay leptons, but these analyses are statistically limited in the high-energy regime. By contrast, measuring
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) and/or machine learning (about 10 PIs). The Physics Laboratory is about 180-member strong and conducts world-leading research on a broad range of topics, including quantum technology, statistical