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27 Feb 2026 Job Information Organisation/Company Ecole Nationale de l'Aviation Civile Research Field Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Leading
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
, as they significantly impact both the performance and accuracy of the overall discretization scheme. Phase 2: learning techniques in wave modeling and inversion To address the inverse problem, we
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2 Mar 2026 Job Information Organisation/Company University of Lorraine & CNRS Research Field Physics » Acoustics Engineering » Mechanical engineering Researcher Profile Established Researcher (R3
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21 Feb 2026 Job Information Organisation/Company Université Grenoble Alpes Research Field Technology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1
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Kansas. The ideal candidate would have strong technical skills for working with AEM data and models, including physically based forward and inverse modeling of AEM survey responses, and demonstrated
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. The PDRA will quantify the differences in calculated and measured experimental conditions by adapting the Geodetic Bayesian Inversion Software ( https://doi.org/10.1029/2018GC007585) ). Working alongside our
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3 Mar 2026 Job Information Organisation/Company Université de Lille Research Field Biological sciences » Biology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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24 Feb 2026 Job Information Organisation/Company IMT - Institut Mines-Télécom Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Mar
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
models to approximate posterior parameter distributions and guide efficient exploration of inversion problems. Beyond workflow acceleration, we envision constructing an ISSM-specialized geospatial