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related field A strong background in machine learning, computer vision, or 3D point cloud processing, as well as in probabilistic modelling and Bayesian inference Very good programming skills, preferably in
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2 Oct 2026 Job Information Organisation/Company Aix-Marseille Université Research Field Computer science » 3 D modelling Biological sciences » Other Geosciences » Other Researcher Profile First
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Professor of Art (2D/3D Foundations) and Foundations Coordinator Number of Vacancies 1 Location Rio Grande Valley, Texas Division/Organization Provost - Academic Affairs Appointment Period for Non-Tenure
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position in the area of microelectronics circuit/system design. The School of Electrical, Computer and Energy Engineering (https://ecee.engineering.asu.edu/ ), one of the eight Fulton Schools of Engineering
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fabrication labs, 3D printing and printer maintenance, CAD design, and MRI system peripheral equipment installation and integration. This position supports the CMRR research faculty, the general needs
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Study neural activity using
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software such as Microsoft Word, Excel and Outlook.. This includes Bluebeam, AutoCad 2D, Autodesk MEP 3D and Revit, skill in the use of computer software for mechanical calculations, including heating and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 12 days ago
for the avatarization process, i.e. obtaining a 3D, animatable model from one or several images. This is a very hard problem as shape fidelity, animatability, fast computation time and low number of required input
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students and is rapidly expanding its range of education and research activities. For more details, please view https://www.ntu.edu.sg/cee. We are looking for an outstanding Research Fellow with a strong
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and adaptation will provide inspiration for mechanisms that can be tested quantitatively on an engineering platform. The student may use computational models, physical simulation or optimisation