Modèles génératifs de volumes CT complets / Generative Models of Full Body CT Volumes L’équipe Imagine propose un poste de post-doctorat en collaboration avec l’entreprise TheraPanacea pour un an, possiblement renouvelable. Plus de détails dans le pdf ci-dessous. The Imagine team has an opened postdoctoral position in close collaboration with…
Le laboratoire CIAD de l’Université de Technologie de Belfort-Montbéliard, recrute deux postdocs dans le cadre du projet EROIS. Contexte Le projet EROIS (Excavatrice RObotisée, Intelligente et Sûre) est une initiative stratégique visant à redéfinir les standards de l’excavation en créant une excavatrice robotisée, intelligente et sûre, pleinement opérationnelle d’ici à…
For more information, please visit: https://www-obelix.irisa.fr/files/2026/02/2026_Postdoc_Axolotl.pdf
Offre de Postdoctorat en Computer Vision / Pattern recognition / Machine learningLaboratoire PRISME – IUT de l’Indre Mots clefsDeep Learning, Weakly supervised learning, Action recognition, Video processing, Representationlearning, Sequential learning, Animal Behavior Recognition ContexteL’agnelage est une étape clé dans la gestion des élevages ovins, mais elle est aussi l’une des…
Université Savoie Mont Blanc is recruiting: Position Overview One Postdoctoral Researcher (M/F)Full-time fixed-term contractPeriod: March 2, 2026 to March 1, 2028Reference: LISTICDIGIRAP Location Primary affiliation:LISTIC Laboratory (Polytech Annecy-Chambéry)Site du Bourget-du-LacBâtiment 2 – Avenue du lac d’Annecy73370 Le Bourget-du-Lac Partner laboratories: ISTerre and EDYTEMCampus scientifique73370 Le Bourget-du-Lac About the Research Units…
Postdoctoral Research Position Sepsis Prediction by Intelligent Continuous Evaluation (SPICE) — Artificial Intelligence for Continuous Physiological Monitoring in Critical Care
Anomaly detection is a challenge in itself. The capacity to detect anomalies is a major ingredient of safe and trustworthy AI systems across major application areas. Anomaly detection is unsupervised by nature, since abnormal events are rare, varied, and cumbersome to collect. Conventional methods can be roughly grouped into three…
Centrale Lyon – LIRIS, INL, LTDS laboratories
Keywords: Optimal Transport, Sinkhorn algorithm, Online Learning, Machine Learning, Signal Processing. Description: Optimal transport (OT) is a powerful framework to define and compute distances between distributions (a.k.a. Wasserstein or earth mover’s distance), with a tractable computation thanks to the Sinkhorn algorithm [1]. Entropic regularization, which enables fast iterative scaling and…
