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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 days ago
mechanics (e.g. Computer Graphics, Virtual Prototyping, or more fundamental problems in elasticity/geometry/contact/friction), capable to work alongside in real physical experiments, and curious to discover
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coherent beams at ESRF, notably in the field of far-field (including Bragg geometry) or near-field imaging. The position will present particular challenges in the development of phasing algorithms, data
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 23 days ago
) for the 1D wave equation Testing of various gradient descent algorithms in different geometries Writing of an end-of-internship report Additional activities: Participation in the weekly ANEDP seminar
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optimization. Knowledge in algorithms for sampling/variational inference and kernel methods will also be welcome. Interest or experience in differential geometry, optimal transport, and remote sensing
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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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: Analysis, Numerical Analysis, and Scientific Computing (ACSIOM), Didactics and Epistemology of Mathematics (DEMA), Probability and Statistics (EPS), and Geometry, Topology, and Algebra (GTA). - main mission
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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 The thesis will be supervised by
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Deadline 20 Oct 2025 - 02:12 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | 3 months ago
robust reference algorithms for dense point clouds partitioning for complex geometries. 3D laser scanning systems provide dense point clouds and allow complex surfaces to be reconstructed and partitioned
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and Seidel in the early 2000s, inspired by symplectic geometry. This PhD project is part of a broader research program aiming to use categorical tools to derive geometric results about the