10 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" uni jobs at IMT Atlantique
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). Require skills Strong background in communication networks and wireless/satellite systems; Knowledge of machine learning and optimization techniques; Experience with simulation tools (Python, MATLAB, ns-3
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on computer vision and machine learning techniques, that evaluates video recordings of human movements providing them with a normalized score of functional capacity. However, we lack objective information about
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. Panagiotis Papadakis and Associate Prof. Mihai Andries Keywords: Deep learning, event cameras, human skeleton, pose estimation, action recognition Where to apply Website https://imtatlantique.fillout.com
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9 Feb 2026 Job Information Organisation/Company IMT Atlantique Department Computer Sciences Research Field Computer science Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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9 Feb 2026 Job Information Organisation/Company IMT Atlantique Department Computer Sciences Research Field Computer science » 3 D modelling Computer science » Modelling tools Researcher Profile
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assimilation, and at least a practical understanding of machine learning. Both profiles should bring a curiosity for bridging disciplines and a drive to innovate at the intersection of AI and ocean science
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. Supervisor: Prof. Vincent CASTEL (Google Scholar page ) Keywords: Cavity magnonics; Nitrogen-vacancy (NV) centers; Hybrid quantum systems Where to apply Website https://imtatlantique.fillout.com/mscapf2026
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Atlantique Bretagne - Pays de la LoireCountryFranceCityNantesPostal Code44307StreetLa Chantrerie, 4 rue Alfred KastlerGeofield Contact City Brest, Nantes, Rennes Website https://www.imt-atlantique.fr/en Street
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, uncertainty propagation Where to apply Website https://imtatlantique.fillout.com/mscapf2026 Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Skills: Modeling Reactor
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. 5, no. 2, pp. 354–379, 2012. [2] C. K. Williams and C. E. Rasmussen, Gaussian processes for machine learning. MIT press Cambridge, MA, 2006, vol. 2, no. 3. [3] G. Daras, H. Chung, C.-H. Lai, Y