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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoc will be part of the SPRINT team. The project will take place as
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the use of computational clusters. The candidate should be motivated to interact with other scientists in the group (currently 3 PhDs and 1 postdoc), proficient in English, with a good publication
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in Singapore and CRHEA in France), the University of Warsaw and UNIPRESS (Poland), and CNR Lecce (Italy), with whom the postdoctoral researcher will collaborate. What we offer • Opportunity to work
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) forms, Iwasawa theory, algebraic cycles, Shimura varieties, p-adic Hodge theory.. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UAR822-SOPRIB-008/Default.aspx Work Location(s
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Infrastructure? No Offer Description The postdoctoral researcher will contribute to the ANR-funded Pi-CANTHERM project, which aims to design, model, and predict the performance of new n‑type organic thermoelectric
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the various input and output datasets - Investigate the loss function for a multivariate regression output with very different ranges in the target variables and unknown density distributions - Investigate
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), using a dual experimental and numerical approach. As part of this postdoctoral contract, we will address the following fundamental question: considering a density-stratified ocean, what turbulence and
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combining space-based remote sensing and modeling, it aims to better understand the evolution of forest fuels and their role in fire propagation. Tested on pilot forest areas (Centre-Val de Loire and Pyrénées
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(H2) ratio, the current density and the water vapor conversion rate. The reproducibility on the performance measurements will be determined at 750 °C for a fixed p(H2O)/p(H2) ratio. XRD and Raman
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. Characterizations will take place at the SIMaP lab, and the synthesis steps at the LMGP lab. This position is part of an ANR-funded project (AAPG2023 “Nanocomposite,” led by J.-L. Deschanvres at LMGP). • Training in