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Chemistry for Health” track. IJCLab bases its recruitment policy on the promotion of equality, diversity, and inclusion. These core values support both the professional development of staff, key contributors
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14 Jul 2026 Job Information Organisation/Company CNRS Department Centre de Recherche en Informatique de Lens Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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Préhistoriques (HNHP, UMR 7194) laboratory is a joint research unit under the supervision of the CNRS, the MNHN, and the UPVD. Its mission is to study the biological and behavioral evolution of hominins over
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reactiOns) algorithm, developed within the DeSIS research team, which combines experimental measurements and simulated data to improve predictions of secondary particle production cross sections. High-quality
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
for the following main tasks. They will engage in Model Design and Development by designing and implementing novel architectures (e.g., Diffusion Models, Transformers, VAEs) specifically tailored for high-resolution
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, objective, and valuable intelligent tools capable of assessing coffee quality throughout the production chain, from farm to cup. The main objective of the ORBIT project is the development of a multi-sensory
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experts on network monitoring, data management, algorithms, AI, modeling, microbiology, ethics and industrial partners, and by participating in a specifically designed training programme, they will develop
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4 Jul 2026 Job Information Organisation/Company CNRS Department Institut de recherche en informatique et systèmes aléatoires Research Field Computer science Mathematics » Algorithms Researcher
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, research centres, technology developers and water utilities across Europe. The project will train 15 Doctoral Candidates to develop innovative AI-driven solutions for intelligent, resilient and sustainable
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safety-critical tasks, such as healthcare or automated vehicles, where trustworthy models are required. The existing literature for the OoD detection problem focuses on the development of confidence scores