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sedimentary architectures as well as fluid migration pathways through time and model the resulting distributions of heat and H2 fluxes and reservoirs properties at basin scale. The PostDoc will be supervised by
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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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data and applied to public datasets, e.g. Fermi-LAT and DESI. The two postdocs will be recruited simultaneously and will work as a team toward a single joint pipeline. Position 1 — LSS forward modelling
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use numerical models to interpret and predict mechanical behavior. - Carry out a cross-analysis of experimental, microstructural, and numerical results. - Disseminate scientific results (publications
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of artificial neuron network have been demonstrated based on single nanomechanical device. The main mission of this postdoc project, financially supported by IMITECH project, is to develop reservoir computing
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on model papers using a dedicated micro-tensile machine coupled with 3D real-time in situ observation using synchrotron X-ray microtomography (ESRF). • 3D Image analysis routines will be used to identify
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The successful candidate will contribute to the development of a new generation of 3D-printed biomimetic materials designed to model the human intestine in vitro, as part of the BAM-INT project. The project aims
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tempering [1]. The enrichment step remains to be studied specifically Objectives of the postdoc will be to study, by modeling and advanced characterization techniques, carburizing of a high-alloyed tool steel
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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consensus. The successful candidate will develop the algorithmic foundations of this framework—making the motion-generation stack modular and heterogeneous (combining model-based control with learning-based