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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 29 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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Description This PhD project aims to develop advanced software solutions for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates
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of BRGM's work is to provide geological knowledge and an understanding of phenomena linked to the soil and subsoil, with one overriding objective: to meet the challenges of environmental change through
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30 kHz by a burst laser source combined to two Optical Parametric Oscillators (OPOs) [7] applied on H2/air flame. The optimization of OH and NO excitation strategies and the quantification
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possibility of exploiting these defects will be investigated. Bibliography [1] M. Lindemann et al., Ultrafast spin-lasers, Nature 568, 212 (2019). [2] N. Nishizawa et al., Angular optimization for cancer
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, deformation mechanisms and mechanical performance, ultimately enabling more efficient design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https
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, deformation mechanisms and mechanical performance, ultimately enabling more efficient design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https
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23 Mar 2026 Job Information Organisation/Company CNRS Department Cognition, Langues, Langage, Ergonomie Research Field Neurosciences Psychological sciences » Cognitive science Psychological sciences
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. Research within LIG is organized into 5 focus areas: Intelligent Systems for Bridging Data, Knowledge and Humans, Software and Information System Engineering, Formal Methods, Models, and Languages
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solutions that maximize operational efficiency, minimize network impacts, and ensure the long-term sustainability of the proposed approaches. The project investigates optimized EV charging strategies aligned