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project FBCUBES (France-Brazil Collaboration on Universal Behavior of Exotic Nuclear Systems) and contribute to one of its core work packages. The position focuses on developing and applying the No-Core
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of advanced characterization techniques, with operando approaches allowing to monitor the behaviour of batteries under real working conditions. This is the objective of the present OPENSTORM project, belonging
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the framework of the PEPR Sous-Sol project ORGMET conducted by a consortium of four French laboratories GET, INEEL/ESRF, LFCR and IPREM (https://www.soussol-bien-commun.fr/fr/appel-projets-2024/orgmet
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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 As part of a PEPR-France 2030 project conducted in collaboration with
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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
the DigiTREAT project (PEPR Digital Health), which aims to model the progression of rheumatoid arthritis and its evolution in the presence of drug treatment. As part of this project, the postdoctoral researcher
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an atom interferometry experiment using a Bose-Einstein condensate manipulated by an optical lattice. He or she will develop optimal control protocols to develop a cold-atom gradiometer. This project will
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processes that explain observed patterns of specificity, diversity, phylosymbiosis and coevolution in empirical host-associated microbiomes. This position is part of the Horizon Europe project “BIOcean5D
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of individual ice crystals and grain boundaries. This postdoctoral project aims to leverage these developments to better constrain the origin, structure, and evolution of basal ice beneath the Greenland and
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this case, the external neutron source that maintains the reactor core thermal power is generated by the interaction of a high-intensity proton beam with a spallation target. However, the design, development
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform