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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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of translational research. Good knowledge of the organization and stakeholders of the research ecosystem. Required know-how: Proficiency in common computer tools (use of Word, Excel, PowerPoint, etc.). Proficiency
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
Framework Programme? Not funded by a EU programme Reference Number 2025-09695 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD candidate will join the Inria
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Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) | Toulouse, Midi Pyrenees | France | 2 months ago
ready to travel Applicants must be eligible to enroll on a PhD program at Institut National Polytechnique de Toulouse (INPT) (https://www.inp-toulouse.fr/en/study/phd.html ) Desired skills: Knowledge in
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LevelPhD or equivalent Skills/Qualifications We are seeking highly motivated candidates with one of the following profiles: Applied Mathematics, Signal Processing, or Computer Vision: A PhD in these fields
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FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications Desired profile: bioinformatician, chemoinformatician, or biologist/chemist with basic computer skills. Additional Information Selection process
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Qualifications/knowledge : PhD in computer science, with a specialisation in computer vision, digital geometry processing and/or machine learning. No specific knowledge about plants is required. Operational skills
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. Experience in instrumentation and metrology would be appreciated. Proficiency in instrumentation-computer interfaces and programming necessary for automatic data acquisition and remote monitoring
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
in Computer Vision; 2009 Oct 12–16; Trégastel, France.Available from: https://inria.hal.science/inria-00404638v1/document 5. Micicoi G, Grasso F, Kley K, Favreau H, Khakha R, Ehlinger M, et al
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The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate