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22 Jul 2026 Job Information Organisation/Company Aix-Marseille Université Department M2P2 Research Field Physics » Computational physics Engineering » Nuclear engineering Researcher Profile
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degrees: A Master's or engineering degree in robotics, AI, computer science, embedded systems, computer vision, or mechatronics. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR6285-FLOLHO
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is organized into three departments and comprises a total staff of 393 members, including 257 permanent employees (119 researchers and faculty members, and 138 engineers and technicians), 46 fixed-term
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of offers available1Company/InstituteINSERM U1338 - Systems Engineering and Evolution Dynamics – EliS LabCountryFranceCityParisGeofield Contact City Paris Website http://www.inserm.fr Street 101 rue de
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thermiques à micro-echelle, extraire les paramètres thermiques, et ainsi simuler, developer puis intégrer avec les équipes de ST les solutions élaborées afin d'optimiser la gestion thermique aux micro-échelles
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Ecole Supérieure De Biologie Biochimie Et Biotechnologies (Université Catholique de Lyon) | Lyon, Rhone Alpes | France | about 2 months ago
réponse aux traitements combinant immunothérapie par IPCI et chimiothérapie, afin d’optimiser la prise en charge des patients. Ce projet offrira au doctorant une formation approfondie en biologie
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Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes | Palaiseau, le de France | France | 2 months ago
14 Jul 2026 Job Information Organisation/Company Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes Research Field Engineering » Electronic engineering Researcher Profile Recognised
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18 Jun 2026 Job Information Organisation/Company CNRS Department Laboratoire Interdisciplinaire Carnot de Bourgogne Research Field Chemistry Physics Technology Researcher Profile First Stage
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institution dedicated to biomedical and health research. Inserm conducts research with a focus on translating research findings into clinical and therapeutic applications that address current public health
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(https://endomic.github.io) aims to develop artificial intelligence and statistical-learning methods capable of identifying robust and clinically meaningful disease endotypes from heterogeneous, multimodal