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to renewable energy sources. Thermodynamic cycles (power generation cycles, refrigeration cycles, heat pumps) play a central role in this transformation, but their optimal design remains a complex scientific
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is to understand and optimize PPA properties using a simulation strategy that spans from the molecular scale (ab initio calculations) to continuum approaches, thereby accounting for the different
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potentially integrated route to generate coherent THz radiation, while offering clear knobs—optical power per line, coherence, stability, and spectral bandwidth—to optimize the resulting THz performance
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 22 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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involved in reproduction. The objectives are to define an experimental model to identify the constraints of sexual selection and to control the parameters for optimizing insect rearing. The thesis's purpose
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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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registered at the MIMME Doctoral School (https://mimme.ed.univ-poitiers.fr/ ). Institut Pprime is a dedicated research unit (UPR) of the CNRS. Its scientific activities span a broad spectrum ranging from
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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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candidate will undertake the following activities: - Synthesis and characterization of catalysts: Develop hybrid materials (metals, oxides, or composites) optimized for the selective formation of aldehydes
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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