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Field
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learning and simulation-based inference for searches for dark matter (or other “invisible” new physics signals) at the Large Hadron Collider, with the support of competent and friendly colleagues in
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/or oceanography; or experience working with numerical simulations, large data, scientific programming, and/or machine learning. Applicants are asked to send a CV, a brief statement of research
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21 Aug 2026 Job Information Organisation/Company CNRS-LMA Department laboratoire de Mécanique et d'Acoustique UPR 7051 Research Field Mathematics » Computational mathematics Engineering » Simulation
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design workflows for nanoporous carbon electrodes for sodium-ion batteries. The objective is to accelerate the exploration of virtual carbons with varied microstructures by combining numerical structure
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microwave circuits, antennas and antenna systems for CubeSat and related space applications. Undertake full-wave electromagnetic simulation and numerical modelling of microwave and antenna components using
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problems in bioinformatics. This project is part of the Faculty of Science's new Quantum Simulation for Molecular and Material Design (Q-MMD) programme. You will join a growing interdisciplinary team at
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challenging, especially in dunes with complex topography. Your job In this 2-year postdoc position, you will use numerical modelling and machine learning techniques to increase the accuracy of coastal dune
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, including periodical/literature search and utilizing specialized skills in spectroscopy and instrumentation to analyze the collected data, with numerical models. ● Participate/assist in manuscript writing
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for implementing computational models, simulations, and numerical experiments is desirable. Diversity Committed to equality and valuing diversity Application Process You will be required to upload a covering letter
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of hydrogen storage systems for energy applications. The postdoctoral researcher will contribute to: Development and implementation of advanced multiphysics numerical models Simulation of sorption phenomena and