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for the turbomachinery design optimization process conducted by a parallel PhD student at LMFA. The numerical solver involved is ProLB. It is an innovative Computational Fluid Dynamics (CFD) software solution developed
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multiple fields, including mathematics, physics, artificial intelligence (AI), bioinformatics, and biological sciences. Researchers work closely with experimental biologists to ensure that computational
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Eligibility criteria The candidate must have a PhD degree in physics (atomic, particle, hadronic or nuclear) with a strong focus on theory. The project requires sound knowledge in theoretical physics, computing
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beyond the department on new potential collaborations. Required Knowledge, Skills, and Abilities: PhD in nuclear engineering, experimental or theoretical low-energy nuclear physics or applied mathematics
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process is as follows: Those interested must access the website where the university publishes all the offers: https://talenthub.upc.edu/en/jobs/r2/r2-jobs/r2-jobs select the offer that is of interest
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The recruited PhD student will be involved in the below-described
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good physical fitness. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5204-CARDID-010/Default.aspx Work Location(s) Number of offers available1Company/InstituteEnvironnement
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26 Mar 2026 Job Information Organisation/Company CNRS Department Institut des MAtériaux poreux de Paris Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher (R1
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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 UPWELLING project addresses critical challenges
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Design and synthesis of mesoporous zeolite catalysts for the conversion of sugars into biofuels and high-value chemicals School of Mathematical and Physical Sciences PhD Research Project Self Funded