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modeling, computational fluid dynamics (CFD), and high-performance computing (HPC). Analyze simulation results and publish findings in leading scientific journals and international conferences. Collaborate
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 19 days ago
coatings. Evolution of concepts for synthesis of new or improved materials and composites having potential for use in high-performance aerospace applications. Computational and theoretical materials modeling
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Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling of the ...
Area of research: Scientific / postdoctoral posts Starting date: 01.11.2026 Job description: Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling
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Starting Date 1 Jan 2027 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description
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series,mathematical modelling, generalized linear models, computational statistics, optimisation, Bayesian statistics.Specific requirements: Proficiency in Python and R. Selection process Contest
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Engineer will conduct R&D in nuclear nonproliferation with expertise in computational nuclear reactor physics through modeling and simulation (M&S). The candidate will perform analysis and methods
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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23 Jul 2026 Job Information Organisation/Company Toyota Technological Institute Research Field Technology Information science Engineering Computer science Researcher Profile Recognised Researcher
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: Topologically-Informed Large Language Models for Innovation Intelligence. The project is funded by FFplus, a EuroHPC Joint Undertaking initiative under the European Union's Digital Europe Programme, and brings
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models. However, rigorous methods for evaluating XAI algorithms are currently lacking. This is in large part due to a gap between how explainability is evaluated within computer science and philosophy. In