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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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composition of the fossilized tissues of the specimens studied. The postdoctoral fellow will collaborate with project partners (BGS Dijon, PPSM Paris-Saclay, the PUMA synchrotron beamline) to integrate
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astrophysics, cosmology, or a related field completed by the start date; strong programming skills; working knowledge of machine learning applied to astrophysics and cosmology, in particular simulation-based
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the molecular identity and function of specialised skin cells that become remodelled above the olfactory placode, and to determine how they acquire the properties required for orifice formation. The project will
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to address the deployment limitations of multi-purpose robots in shared environments. Rather than a single monolithic controller, the robot is treated as a network of collaborating semi-autonomous agents (a
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scientific articles, presenting research results on conferences, and communicating with collaborators The Institute of Electronic, Microelectronic and Nanotechnology (UMR CNRS 8520 – https://www.iemn.fr/en
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The project will be carried out primarily at the CLLE laboratory (UMR 5263) at University of Toulouse – Jean Jaurès (UT2J), in collaboration with the Institut de Recherche en Informatique de Toulouse (IRIT
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analysis of the ATLAS experiment data. The L2IT team plays a driving role within the ATLAS collaboration for the reconstruction of charged particle tracks using geometric deep learning (GDL). The person who
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data) will help validate observations and refine predictive models. Automated monitoring tools (scripts, dashboards, alerts) incorporating machine learning algorithms or statistical methods will be
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Carlo simulations would be a plus. A good level in English (at B2 according to the Common European Framework of Reference for Languages) is required. The international, multidisciplinary and collaborative