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to this project, including one at G2Elab. The experimental results will be obtained on models defined jointly with VALEO. Progress meetings will enable the postdoctoral researcher to follow a large-scale project
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topic, the work addresses exploration of new concepts and technologies (in particular for reusable launch vehicles), and methodological research which includes MDO, surrogate modelling, deep learning and
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, modeling and Remote-sensing to Transform carbon budgets, CLARiTy’ (https://www.schmidtsciences.org/vicc/) will reduce the persistently high land flux uncertainties in GCB by an order of magnitude. To achieve
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models (CNNs, Transformers, GANs) for PET and CT dose reduction - Work with raw PET/CT data, projection data, and reconstructed images - Perform quantitative image evaluation and clinical validation
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integrative approaches, including molecular, greenhouse and field experiments, plant-soil system modeling, and state-of-the-art tools (e.g., isotopes, phenomics or genomics) to generate new knowledge
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TAGADA started on Oct, 1st 2025 https://www.ceremade.dauphine.fr/dokuwiki/anr-tagada:start . The goal of TAGADA is to lay the foundations of random tensor theory and foster a multidisciplinary research
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12 Dec 2025 Job Information Organisation/Company Utrecht University Research Field Computer science » Modelling tools Computer science » Programming Geography » Cartography Geography » Human
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of aerospace components based on Digital Twin models. The goal is to create a virtual replica updated in real time using data from structural and environmental sensors, enabling continuous performance monitoring
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the health and MedTech sectors, and beyond. For more information about the total announced post-doctoral positions within in the AMBER co-fund project please visit https://www.euraxess.se/jobs/392999
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Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP) | Paris La Defense, le de France | France | about 2 months ago
a postdoctoral researcher to work full-time on the DiscoReel project. The postdoc will work on developing machine and deep learning methods for epidemic modeling, integrating them with mechanistic