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of Python and experience with LINUX OS are mandatory. Experience with refraction seismology and inverse problems are a strong plus. Employment requirements: The successful candidate will have a Master degree
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LIST? Check our website: https://www.list.lu/ How will you contribute? The Post-Doc researcher will develop, implement, and apply advanced ways in inverting a radiative transfer model for forest trait
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of the applicant's existing skills and expertise with the requirements mentioned above. Website for additional job details https://www.list.lu/career/job-offers Work Location(s) Number of offers available1Company
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LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research ExperienceNone Additional Information Additional comments - Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UPR8011-WOLBAC-001
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applications using patient-specific data Very strong expertise in the theory and application of Physics Informed Neural Networks to inverse problems Expertise in sensitivity analysis and uncertainty
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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 researcher will work on some inverse problems in
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optimization of advanced reconstruction and control algorithms, combining numerical modeling, inverse problem techniques, and AI-driven approaches, together with experimental validation to improve imaging
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for field visits to be carried out. Additional Information Website for additional job details https://www.univ-smb.fr/wp-content/uploads/2026/04/offreemploi-postdoc_2026_lis… Work Location(s) Number of offers
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with advanced statistical techniques (optimal Bayesian, Markov Chain-Monte Carlo, etc.) to solve the forward and inverse problems involved. Additional information about AGAGE, CS3, and MIT atmospheric chemistry
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
Bayesian statistics, AI-assisted inverse problems, planetary remote sensing, and environmental monitoring. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09787 Requirements Skills