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15 Sep 2025 Job Information Organisation/Company Institut Jean Lamour Department SI2M (Science and Engineering of Materials and Metallurgy) Research Field Engineering » Materials engineering
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collaborative culture of the group. One position is funded by the Simons Collaboration on Learning the Universe (LtU). The Simons Collaboration develops physically grounded models for galaxy formation simulations
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, and implementation of medical devices, software, operational workflows, realistic spacecraft, and mission environment models for display on immersive screens and physical prototypes using 3D printing
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shoulders up to 25 pounds. Standing and sitting at computer terminals and laboratory bench completing repetitive tasks for extensive periods of time. Continuous working with materials requiring personal
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and physics, Materials Mechanics, Geotechnics, and Civil Engineering Proven skills in laboratory and/or field experimentation Potential aptitude in numerical modeling Ability to work in a team and in
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to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and
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with background and experience in language modeling and interests in applications in the health and social sciences. Specific potential projects include: Using language models for scientific discovery
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 26 days ago
applied to both existing and new flight data. The applicant should have experience with materials modeling, uncertainty quantification, and heat transfer analysis. Field of Science: Engineering Advisors
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motivated and talented postdoctoral researcher to join our team to develop a novel GPT-like system for bacterial genomes using cutting-edge genomic language models. This project aims to adapt and extend
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applicant will work closely with industry sponsors who will help to guide the project. The Elbert lab and the industry partner are interested in developing mechanistic, predictive models of neurodegenerative