58 optimization-nonlinear-functions-"Prof" Postdoctoral research jobs at CNRS in France
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(photons) and matter excitations (excitons), inheriting properties from both: they can propagate at speeds close to those of photons while exhibiting much stronger nonlinearities. The demonstration of robust
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and optimization would be an asset Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR6620-VALERIE-018/Default.aspx Work Location(s) Number of offers available1Company
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to optimize their durability and efficiency under industrial conditions. The goal is to contribute to a sustainable energy storage solution while avoiding the use of expensive metals. The postdoctoral
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of squares hierarchies to prove positivity of holonomic functions - Scientific article writing - Attending conferences - Software programming LAAS CNRS Where to apply Website https://emploi.cnrs.fr/Candidat
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Infrastructure? No Offer Description The postdoctoral researcher will contribute to the ANR-funded Pi-CANTHERM project, which aims to design, model, and predict the performance of new n‑type organic thermoelectric
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Description The person hired for this position will work within the context of the French Océan et Climat program, particularly in the AI data challenges part of the project https://www.ocean-climat.fr/Le-PPR
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researcher will join the bioinformatics team at the MMSB Laboratory (UMR 5086; MOMS team). Responsibilities: (1) computer simulations as part of the SELDOM project, focusing on interactions between lipids and
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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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postdoctoral research topic is part of the ANR BiBOP project, Bi-Based nanOmaterials for Photocatalysis, which aims to develop thin layers of bismuth oxyfluorides, which are interesting materials
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” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a