[Postdoc] Privacy-preserving and ressource-efficient federated learning for ship detection from satellite imagery
For more information, please visit: https://www-obelix.irisa.fr/files/2026/02/2026_Postdoc_Axolotl.pdf
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…
This 2-year postdoctoral position is part of the exploratory action INCLUDE (Integrating fuNctional MRI and EEG with Carbon-wire Loops: towards the characterization of mUltimoDal functional biomarkErs), funded by Inria (PI: Julie Coloigner and Claire Cury, researchers at IRISA/Inria, Univ Rennes, Empenn team, julie.coloigner@irisa.fr, claire.cury@inria.fr) https://jobs.inria.fr/public/classic/en/offres/2025-09390 Context The human brain is organized as…
Workplace : Univ. Grenoble Alpes (Grenoble)Contract Period : 24 monthsExpected date of employment : 1 April 2026 (flexible)Remuneration (gross salary) : 2991.58€/monthHow To Apply : use this candidate application form (CNRS website) Missions More than 5,000 exoplanets have been discovered to date. The inventory is still ongoing, but our field…
AI/ML for Clinical Proteomics (DIA Mass Spectrometry Data) We are looking for a highly motivated Postdoctoral Researcher to lead the development of innovative Artificial Intelligence (AI) and Machine Learning (ML) models for the analysis of Data-Independent Acquisition (DIA) proteomics data. This position is part of the ANR-funded AIDIBOP project, which…