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, electrical engineering, engineering physics, applied mathematics, or a related field, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in areas previously
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, Infected macrophage populations. Perform parameter estimation using optimization and machine learning approaches Develop numerical schemes for high-dimensional structured PDEs (pseudospectral methods
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month 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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of the Loop: A Review of Bayesian Optimization, Proceedings of the IEEE, 104-1, 148-175, 2016. Where to apply E-mail pietro.congedo@inria.fr Website https://recrutement.inria.fr/public/classic/en/offres/2026
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6 Apr 2026 Job Information Organisation/Company PHAETHON Centre of Excellence Research Field Engineering Computer science Physics Environmental science Mathematics Researcher Profile First Stage
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18 Apr 2026 Job Information Organisation/Company CNRS Department Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie Research Field Engineering Computer science Mathematics
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dynamics. Particular emphasis is placed on opinion dynamics as well as distributed problems in coordination, optimization, and learning. The research encompasses both theoretical and computational aspects
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that govern membrane function. Your Mission: Develop a multiscale scattering model that bridges nanoscopic and mesoscopic structure and dynamics. Mathematical Modeling: You will combine rigorous mathematical
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. The techniques used will include Laser Doppler Vibrometry (LDV) and Air Coupled (AC) ultrasound detection. The candidate will design optimized setups for (i) vibration excitation by an impactor or ultrasonic
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optimally for future challenges. This PhD position is part of the SecReSy4You MSCA Doctoral Network, which focuses on developing next-generation methods for security and resilience of cyber-physical systems