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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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of differential or partial differential equations, and the implementation of numerical methods suited to the dynamic systems under study. The post is available within the POEMS laboratory. Where to apply Website
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considered an advantage: Density Functional Theory (DFT), Molecular dynamics simulations, Machine learning methods for materials modelling, Computational materials science, Organic or hybrid materials
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 1 day ago
other channels is not guaranteed. Website for additional job details https://jobs.inria.fr/public/classic/en/offres/2026-10548 Work Location(s) Number of offers available1Company
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, Hyowon Park, and Kartiek Agarwal. The group is broadly interested in topics in topological and strongly correlated electronic systems, quantum dynamics and information theory including in connection
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description CONTEXT: Understanding biodiversity and its dynamics is
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on developing, implementing, and applying tensor-network and related quantum-dynamics methods. Applicants may indicate a preference for one project or ask to be considered for both. The start date is flexible
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dynamics, feedback, and constraint. A central question is how inhibitory circuitry reshapes the set of states and transitions available to a recurrent network: not simply by reducing excitation, but by
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project integrates quantum and classical (Markov) approaches within an open-systems framework to investigate when decision dynamics exhibit interference, coherence, decoherence, and more classical
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ICFO is offering postdoctoral positions to well-qualified, highly motivated and dynamic young scientists who wish to contribute advance technologies that drive the clean energy transition. The CO2