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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 PhD candidate will be recruited within IJCLab (http://ijclab.in2p3.fr
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collaborative project. Under the joint supervision of Dr Nikolski and Dr Engelhardt, the candidate will become an integral part of both teams. The PhD candidate will develop and apply AI/bioinformatics
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
and broaden the scope of geophysical models. We will develop a neural solver that dynamically learns to solve the momentum conservation equations. Unlike traditional supervised learning approaches, our
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ultimately aims to develop predictive tools for the exploration and monitoring of natural hydrogen, grounded in physically consistent models and validated by multi-site observations. Where to apply Website
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association with the ITER project; • Astrochemistry and exobiology, to simulate various environments and to prepare for future space missions and observations; • Surface sciences and innovative materials
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-Saclay region and is easily accessible by public transportation from Paris. More information is available at https://www.ip-paris.fr . The candidate will join the doctoral school of the Institut
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driving conditions, stop-and-go operation, and progressive battery degradation. The objective of the PhD project is to develop estimation, fault detection/isolation, and fault-tolerant control methods
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the multidisciplinary PREDIT4FACE project, which was selected within the PEPR Digital Health Call for Projects of France 2030. PREDIT4FACE (PREdictive DIgital Twins for FACial Expression) aims to develop a multiscale
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at IP2I (LMA) and extreme adaptive optics (XAO) for exoplanet imaging at CRAL. This interdisciplinary initiative aims to develop a new generation of wavefront sensors capable of achieving sub-nanometric
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for geophysical flow modelling, uncertainty quantification, and high-performance computing. Its work relies on both deterministic and statistical approaches. The objective of this PhD project is to develop a new