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NIST only participates in the February and August reviews. In many application areas, materials development increasingly involves manipulating the local atomic order to optimize properties
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hierarchical and composite nanofiber systems with prescribed structures to optimize performance in targeted applications while expanding the fundamental understanding of nanofiber fabrication processes and their
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 25 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09839 Requirements Skills/Qualifications Strong mathematical background. Knowledge in numerical optimization is a plus. Good programming skills in
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objectif central est de développer de nouveaux outils algorithmiques et théoriques pour le calcul de bases de Gröbner dans des cadres munis d'une valuation ou d'une structure tropicale, puis d'évaluer leur
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collaborate with campus stakeholders, IT teams, and business units to manage platform configuration, integrations, and structured release cycles (including Jira-based release management), while promoting
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solutions for vibration and noise control in lightweight structures (https://cordis.europa.eu/project/id/101227712 ). The project focuses on the development of Acoustic Black Hole (ABH) technologies
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extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be
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efficiency, emphasizing cost reduction, coverage optimization, and travel time minimization. While these objectives are essential, they often neglect the human dimension of service delivery. Ignoring employees
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, numerical methods for multiphysics problems, and the development of numerical optimization methods for virtual design of metamaterials and structures. Do you want to be part of a dynamic research environment
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of ion conductivity in complex battery materials on a large scale. Model‑generated data will be used to identify key relationships between material structure and ionic conductivity through advanced data