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Efficient and Reliable Numerical Solution of Dynamic Optimization School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Yuanbo Nie Application Deadline: Applications
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 17 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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, Physics (computational or solid-state focus), or a related field Strong interest in additive manufacturing, topology optimization, computational design, and process modelling Background in numerical methods
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reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way for a truly circular wind energy sector
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for the design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https://www.pepr-diadem.fr/ Where to apply E-mail Mohamed.JEBAHI@ensam.eu Requirements
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optimization of laser deposition coating processes using combined wire and powder feed, including numerical simulation of laser modelling, and process parameter optimization. Legislation and regulations: Law Nº
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simulation and optimization of PDE-based problems involving uncertainties or stochastic components. We are looking for an internationally recognized individual who is a leader in the field of Numerical
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optimization of technical processes and products. We present the exciting range of applications of our collaborative software development MESHFREE: https://www.meshfree.eu/ Currently, our team is working
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, highlighting that current (pre)rehabilitation strategies do not effectively promote physical activity. Nevertheless, sufficient physical activity is essential to optimize surgical recovery and achieve broader
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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