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Field
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. Their study allows us to probe fundamental physics at energies inaccessible on Earth and to shed light on the mechanisms that govern the formation, evolution and dynamics of the most extreme objects in
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of the three following topics : cosmological studies using ongoing large-scale cosmological surveys (Euclid, DESI, ZTF) or those about to start (VRO-LSST) , development of analyses, exploitation of instruments
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(https://ai-sandbox.list.lu/ ), an innovative environment dedicated to the trustworthiness evaluation of LLMs and AI Agents. The traineeship will focus on supporting the development, integration and
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. The outcomes of this PhD include: (i) the development of an original fracture-testing methodology for pelvic soft tissues, (ii) the identification of biomechanical biomarkers of menopausal tissue fragility, and
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differently-deformed shapes and what exactly is their structure? In the last years, thanks to the fast development of nuclear physics facilities, instrumentation and detection systems, intensive work is ongoing
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behaviors is particularly challenging due to inherent path dependence and the evolution of unobservable internal state variables. The objective of this PhD is to propose novel hybrid modeling architectures
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. Funding category: Financement public/privé PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/135132 Requirements Specific Requirements We are looking
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
, bibliography, and scientific references are available at the following URL; feel free to consult it: https://chercheurs.lille.inria.fr/ccances/Documents/2026_MATHSOUT_MASTER.pdf Collaboration: The selected
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
research topic: A state of the art, bibliography, and scientific references are available at the following URL—feel free to consult it: https://chercheurs.lille.inria.fr/ccances/Documents
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use, utilizing innovative binary file analysis and deep learning to improve the security of computer systems. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5104-MYRLAU-003