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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 28 days ago
://www.cmap.polytechnique.fr/~aymeric.dieuleveut/ ), professor at Ecole Polytechnique (Palaiseau). The successful candidate will implement and compare different distributed numerical optimization paradigms, that include
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silicon waveguides with a nanometric core. This work will include the development and optimization of simulation tools for the design of these waveguides, combining numerical results with simplified models
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, on the Futuroscope site, the PPrime Institute is recruiting a doctoral student to study the numerical modeling of overlapping piston ring seals in static, semi-static and dynamic operating conditions as part of
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development of optimal passive mitigation solutions through the enhancement of components such as elastomers. These elements will be selected and optimised to absorb and isolate shock and vibration while
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-processed functional materials Use of AI/ML and numerical simulation to optimize the microstructure-properties in the functional materials fabricated by the LPBF process Optimization of microstructure and
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PhD student to establish recipes to provide post-plasma catalysis with different C2Hy distributions and different enthalpy content for optimization of post-plasma catalysis into C2H4. PhD candidate in
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: Algebraic geometry and number theory Area 3: Stochastics and mathematical finance Area 4: Discrete mathematics and optimization Area 5: Discrete geometry Area 6: Numerical mathematics Area 7: Applied analysis
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machine‑learning or data‑analytics tools High‑level programming skills (Python, R, Julia) to build, test, and optimize models of geochemical systems Interest in large‑scale computational simulations (e.g
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layers. 1-Context Turbulent flows dictate the performance characteristics of numerous industrial equipment and environmental applications. One important consequence of turbulence is to increase the mixing
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Europe and UCLA), the PhD candidate will carry out both experimental and numerical investigations to develop an innovative tool for design optimization leading to cost-effective and advanced vortex