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, ensuring the preservation of geometric and topological properties. Conduct a literature review on representation learning (SSL, Geometric DL) applied to the sciences. Develop and implement tokenization
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City Paris Website https://u-paris.fr/ https://incc-paris.fr/ Street 45 Rue des Saints-Pères Postal Code 75006 E-Mail laura.dugue@u-paris.fr amina.hariti@u-paris.fr STATUS: EXPIRED X (formerly Twitter
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
work algorithm design and their theoretical analysis numerical simulations writing scientific papers Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09888 Requirements Skills
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AtlantiqueCountryFranceCityBrestPostal Code29200Street655 avenue du technopôle 29280 PlouzanéGeofield Contact City Brest Website https://www.imt.fr/ Street 655 avenue du technopôle 29280 Plouzané Postal Code 29200 E-Mail
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 14 days ago
joint project between the laboratory “Reproduction et Développement des Plants” at Ecole Normale Supérieure at Lyon (https://www.ens-lyon.fr/RDP/ ), Mosaic team at Inria Lyon (https://team.inria.fr/mosaic
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available1Company/InstituteUSMB / LISTICCountryFranceGeofield Contact City Chambéry Website https://www.univ-smb.fr Street Rue Marcoz, 27 Postal Code 73000 E-Mail Recrutement-Postdoctorant.Rh@univ-savoie.fr STATUS
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the knowledge acquired during the PhD with team members and acquire new knowledge. - Engage with the Local team at LIPN and the wider national community working on proof theory, programming languages and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 12 days ago
graph-based representations, system dynamics, and Physics-Informed Learning, as well as the implementation and validation of these models using real-world data. The developed models will be integrated
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
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https://www.univ-smb.fr Street Rue Marcoz, 27 Postal Code 73000 E-Mail recrutement-postdoctorant.rh@univ-smb.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail