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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 8 days ago
of numerical optimization algorithms. Software maintenance and development. Read scientific reports. Write scientific reports. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10548
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laser arrays Optimization and acceleration of existing simulation codes Parallel computing and high-performance computing (HPC) GPU acceleration, where appropriate Development of scalable numerical
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materials, supported by an NSF CMMI CDS&E award and industry-sponsored projects. The primary function of the position is to develop and cross-validate the experimental and numerical platforms of the mechanics
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staff position within a Research Infrastructure? No Offer Description Activities and context The Post-Doctoral researcher will focus on the numerical simulation and optimization of supersonic separators
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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scale and the sample scale. - Establish links between microstructure and mechanical properties, by combining experimental and numerical approaches, with the aim of optimizing material performance. Within
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include: development and implementation of numerical codes for time evolution in AdS, holographic studies of turbulence, holographic simulations of heavy ion collisions, calculations of quasi-normal modes
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at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical engineering parts. This position offers a unique opportunity to drive
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30 Months Fixed Term, Whole-time Post The postdoctoral researcher / senior postdoctoral researcher will modify an existing GIS-based multicriteria decision support tool in order to designate optimal
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postdoctoral researcher with a solid background in one or more of the following areas: game theory, optimization algorithms, and numerical methods. The successful candidate will develop efficient algorithms and