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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
/logical rules with neural networks to increase accuracy and explainability. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09730 Requirements Skills/Qualifications PhD in neuro
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Financial support: 2100-2400 euros/month, net salary The host laboratory is the UMR 6064 CNRS (CARMeN) based in Rouen (Normandy). The research developed within Institute of analytical chemistry and molecular
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opportunities for independence, international networking, and leadership development in preparation for future fellowships. Where to apply E-mail rita.manco@inserm.fr Requirements Research FieldBiological
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transcriptomics data and network-theoretic approaches. - design of a new mathematical method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation
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national and international professional networks ; -Contribute to scientific publications and technical reports. Where to apply E-mail raphael.delepee@unicaen.fr Requirements Research FieldChemistryEducation
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network! 👉 An exciting, data-driven clinical research position to be filled quickly. ✨ Join a passionate team and contribute to impactful research at the intersection of health data and cardiovascular care
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community. We have identified three axis and research topics: quantum information theory (tensor norms, random tensor networks), data & learning (tensor moments of latent variable models, community detection
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the fields of space, telecommunication networks, secure environments, bioengineering, new materials, energy, and imaging. XLIM is a multidisciplinary research institute located on several sites: in Limoges
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University of Savoie Mont Blanc (USMB) that brings together expertise in machine learning and information fusion, as well as networks and systems. It develops methods for processing and managing data in
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. The project includes a paleoecological approach and an experimental approach with three components. The first part consists of building a collaborative research network to apply pyrodendrochronology in order to