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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 hour ago
-, yarn- and weave-scale structure and physics with thermal protection composite-scale performance. Objective: We are seeking proposals to apply and develop simulation techniques to study the role of micro
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 22 days ago
high-order (HHO) methods [2], for which the curl-curl problem (magnetostatics) has been studied recently [1, 3]. The post-doc is essentially concerned, in the context of ECT simulation, with the physical
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Offer Starting Date 26 Sep 2025 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria Academic: PhD in applied mathematics, computer science, or medical physics. Scientific interests: applied mathematics
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. Washington Monthly Magazine ranks FIU among the top 20 public universities contributing to the public good. The Knight Foundation School of Computer Information Science at Florida International University is
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atom is a promising route to tailor the electronic structure and to realise artificial matter with exotic electron ground states. Another promising route towards physical implementations of energy-based
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5 Sep 2025 Job Information Organisation/Company Tilburg University Research Field Computer science » Programming Engineering » Simulation engineering Psychological sciences » Cognitive science
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16 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire de physique théorique Research Field Chemistry » Physical chemistry Chemistry » Computational chemistry Researcher
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Liu. You will be a key member of the CDA Group, contributing to our development and the success of our mission. The core responsibility of this role is the development of multiscale computational models
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simulations and multiscale spatial-omics data. • Integrate uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments