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numerical validation of error bounds for model-order reduction based on optimal transport, in the context of electronic structure calculations. The postdoctoral researcher will be assigned to the Besançon
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the supervision of Dr. James Bradley (https://www.jbradleylab.com/ ). The recruited person will work with the principal investigator and will participate in theoretical and numerical modelling work, as part of a
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together with the new numerical model to compare cooling rates in the various available sections of oceanic crust. These, together with new data from natural samples from selected areas, will be used
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Research FieldPhysicsYears of Research ExperienceNone Research FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria Creation of models Analytical calculations Numerical
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primarily focus on one or more of these parts. The successful candidate will develop numerical tools and/or theoretical models to model and simulate the behavior of a group of agents capable of chemical
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ingredients for Earth-like magnetic fields on millennial time scales in dynamo models. The research activities are two-fold. First, the candidate will run numerical dynamo simulations with various combinations
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of coupling observations and measurements (field and remote sensing), laboratory experiments and numerical modelling (see page https://lmv.uca.fr/volcanology/ ). Where to apply Website https://emploi.cnrs.fr
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research and high-level teaching have enabled it to establish double degree agreements with prestigious universities and advanced partnerships with numerous companies. With its focus on sobriety, energy, the
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The postdoctoral fellow will participate in the PostGenAI@Paris AI Cluster (ANR) project at Sorbonne University, and more specifically in the "AI-Augmented Multiscale Modeling for Energy Storage" sub-project, whose
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-source framework, enabling the systematic study of these materials. The work will involve developing tensor network numerical codes, building upon existing libraries and codes, to study general models