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geology and geology of sedimentary basin with, in particular, numerical modeling of geological processes (i.e, PhD in Earth Sciences or equivalent). Additional comments The candidate must include a single
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numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team, (v) writing research reports, publishing
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metabolomics gained during their PhD, covering the entire analytical workflow, from sample preparation to data analysis. A good understanding of plant metabolism is also desirable. Skills ➢ Qualifications
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heat transfer processes Use of advanced numerical methods (CFD, LBM, hybrid models) Utilization of high-performance computing (HPC, GPU) Analysis and validation of numerical results Optimization
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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numbers effects beyond what is currently possible. • Perform mathematical and numerical analysis of tensor network methods. • Work on GPU implementation of tensor network solvers. • Disseminate research
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the CIFRE PhD student will be highly appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR125-HERMON-004/Default.aspx Work Location(s) Number of offers available1Company
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20 Jul 2026 Job Information Organisation/Company Télécom Paris Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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place in countries of the Global South and North, as well as the processes of protection, transmission and sharing. Its analysis, conducted across various temporal and spatial scales, prioritises
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). • Electronic transport measurements and charge sensing. • Numerical modelling and data analysis. The ideal candidate will demonstrate strong experimental skills, scientific autonomy, and a willingness to work at