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devices necessary for its scientific activity, as well as the design, development and use of instruments. The researcher will work in the LHCb team of the laboratory which is involved in the LHCb
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appointment be authorized by the competent authority at the Ministry of Higher Education, Research, and Innovation (MESR). Development of a multi-fidelity and multi-model approach for headwater catchments
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Paris-Saclay, in the ThéoSim group. The direction of the PhD will be performed by Dr Fabien Cailliez (fabien.cailliez@universite-paris-saclay.fr , HDR) with a co-direction by Dr Aurélien de la Lande
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researcher will work under supervision of Aurélien MARTENS in the ILE group of Accelerator pole and in close collaboration with a PhD student at IJCLab, and external collaborators.. References: N.Yu. Muchnoi
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at understanding the interplay between the above physical effects on the microstructure evolution of Al alloys during additive manufacturing using the phase-field method. The PhD student will use an in-house phase
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD will be carried out at LRGP (Laboratoire
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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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involves five partners: the ILV (Versailles), the UCCS (Lille), the Genoscope (Evry), TBI (Toulouse) and the IRCELYON (Lyon). The PhD research will take place mainly at the Institut Lavoisier de Versailles
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to the development and demonstration of ferroelectric spin–orbit (FESO) devices based on two-dimensional electron gases (2DEGs) in BaTiO3. The project aims to explore a novel platform for ultralow-power electronic
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reconstructions from classes [1,2]. This postdoctoral position will primarily focus on the development of AI tools to accelerate MDSPACE, enabling rapid atomic-scale determination of complete conformational