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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Hosting organisations This thesis is a CIFRE one, that is to say a thesis co
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Deadline 27 Feb 2026 - 00:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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unit (UMR 7248) from UCA and CNRS. Abstract Optical flow estimation is a key task in computer vision, particularly critical for autonomous navigation where accurate motion perception is essential. It can
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Deadline 23 Jan 2027 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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/mscapf2026 Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Multi-modal computer vision Event-camera sensing Pose estimation Graph Neural Networks
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD offer (starting date: Fall 2026) Context and Objectives: Near
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technologies such as IoT, big data, analytics, computer vision, cloud computing, and artificial intelligence (AI). IoT devices help in data collection. Sensors plugged in tractors and trucks as well as in fields
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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
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The European Synchrotron, the ESRF, is an international research centre based in Grenoble, France. Through its innovative engineering, pioneering scientific vision and a strong commitment from its
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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