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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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large scale due to their cost, but also, they can't capture global motions. The goal of the current project is to develop MLIP that will replace QM/MM, leading to ML/MM simulations that will be usable
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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
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coupled fibre rings. In this system, light evolves in discrete steps. This kind of evolution leads to nonlinear dynamics that are fundamentally distinct from those in standard photonic lattices, giving rise
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this project, the objective of Subatech is to develop systems representative of environmental conditions, particularly with regard to uranium speciation in a wetland contaminated by the first uranium mining
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Discovery”, with a strong scientific and environmental ambition: developing lower-footprint AI methods for real inverse problems in nondestructive evaluation. The topic has already passed the first ENACT
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at the Institute for Research in Insect Biology (IRBI), UMR 7261 CNRS – University of Tours (France) and will join the IRBI's ESORE (Social Evolution and Environmental Responses) team. The student will also benefit
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purely correlational analyses and to develop predictive models with operational relevance. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8212-DAVFAR-008/Candidater.aspx Requirements
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algorithms have been developed, most based on a hybrid architecture combining transform coding and predictive coding. Standards such as H.264/AVC, HEVC, and VVC follow this principle. While they offer highly
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microscope image analyses) 1.3 Quantification of horizontal transfer The project will be developed under the scientific direction of Olaya Rendueles (at CBI-Toulouse). It involves identifying and