232 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" "St" Postdoctoral positions at CNRS in France
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such as Euclid poses many modeling challenges. The COLIBRI ERC aims precisely to develop new theoretical and numerical tools to overcome one of these challenges: baryon modeling. The CDD will have two
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11 Nov 2025 Job Information Organisation/Company CNRS Department Institut des Systèmes Complexes de Paris Île-de-France Research Field Computer science Mathematics » Algorithms Researcher Profile
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The researcher will use and further develop ptychography algorithms for transmission electron microscopy data
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by the CNRS, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical
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pressure sensors, allowing them to measure the movements of the fish and detect pressure signatures in their wake. Numerical simulations were developed to predict the hydrodynamic signatures generated by
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on the development of deep learning methods for reconstruction and physics analysis of the ATLAS experiment data. The successful candidate will develop innovative analysis methods for the reconstruction or the physics
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motivated Postdoctoral Researcher to join our team for a 18 months position based at Femto-ST in Besançon. This role offers a unique opportunity to contribute to pioneering research and development in
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4 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire d'informatique de modélisation et d'optimisation des systèmes Research Field Computer science Mathematics » Algorithms
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at structuring and expanding key research communities working at the intersection of AI and the humanities. EIDA (ANR-22-CE38-0014) seeks to develop a new critical approach to astronomical diagrams produced
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of an effective system for rapid and robust storage and optimised processing of large quantities of collected data. 2. Development and improvement of algorithms for processing acquired geophysical data in order to