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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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Laboratory of Oceanography of Villefranche | Villefranche sur Mer, Provence Alpes Cote d Azur | France | 24 days ago
8 Sep 2026 Job Information Organisation/Company Laboratory of Oceanography of Villefranche Research Field Chemistry » Analytical chemistry Researcher Profile First Stage Researcher (R1) Positions
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molecules and materials. The resulting compounds will be evaluated for the hydrogen evolution reaction using electroanalytical and analytical techniques (micro-GC, etc.). Main activities : Develop and
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or python, or analytical modeling), OR optomechanics, OR high frequency devices. You are eager to learn and expand your knowledge! Basic knowledge of analog and digital circuits. Experience with various
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LPSM (Laboratoire de probabilité et modèles aléatoires) in Paris. Main mission : The project lies at the interface between quantitative ecology and statistical learning. It brings together the expertise
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- Geometry, Learning, Information and Algorithms - Speech and Cognition The Gipsa-lab comprises 150 permanent staff and approximately 250 non-permanent staff (doctoral students, post-doctoral researchers
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French National Institute for Health Research (INSERM) | Lille, Nord Pas de Calais | France | 3 months ago
therapeutics for Alzheimer’s disease by integrating biostatistics, bioinformatics, and Big Data analytics. Key Responsibilities Perform statistical analyses using the R programming language. Develop and apply
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modelling (numerical simulations, e.g. matlab or python, or analytical modeling), OR optomechanics, OR high frequency devices. You are eager to learn and expand your knowledge! Basic knowledge of analog and
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with deep-learning, UniGEM aims to build a neural network to estimate epidemiological parameters of P. falciparum, the deadliest malaria parasite species (read [1] to learn more about the ideas behind
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of AI approaches at different levels of the model chain, i.e. by implementing end-to-end learning frameworks that link data, forecasts, and operational decisions, while incorporating diverse contextual