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PhD degrees Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5243-HELOUR-075/Default.aspx Work Location(s) Number of offers available1Company/InstituteGéosciences
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AI-based material modeling, focusing in particular on one or more of the following fields: AI-assisted modeling, optimization, and problem inversion in the area of material properties and processes
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aspects of transport in the atmosphere, ranging from greenhouse gases to pollutants, water vapour and heat, and we use inverse modelling techniques to determine sources of greenhouse gases, radionuclides
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. Scientific Missions and Objectives The doctoral researcher will focus on the inverse problem of reconstructing solid motion and flow states from distributed sensor data, with emphasis on physics-informed
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modeling of structural variability. The work may include inverse problems, regularization strategies, statistical modeling, representation learning, and geometric or variational approaches to volumetric data
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-stationary configurations [2]. Reconstructing the acoustic field from near-field measurements constitutes an inverse problem, which has been extensively studied using various regularization strategies
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22 Jan 2026 Job Information Organisation/Company INESC MN Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 4 Feb 2026 - 23:59
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administration and organisation. We are looking for a Postdoc in Atmospheric Transport Modelling 53 Faculty of Earth Sciences, Geography and Astronomy Job vacancy starting: 01.04.2025 | Working hours: 40,00
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these challenges by advancing sensitivity-based modelling, fluid–structure interaction (FSI) methods, inverse problem solving, and surrogate modeling techniques, ultimately enabling predictive, adaptive, and
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. They have led to a plethora of important downstream applications, such as image and material generation, scientific computing, and Bayesian inverse problems. At the core of these models are differential