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- CNRS
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- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
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of the School, the Institut Mines-Télécom and the Institut Polytechnique de Paris Job requirements We are looking for a candidate with in-depth theoretical and practical knowledge in the field of optimization
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for synthesizing electrospun membranes tailored to the requirements of our research and development projects. - Optimize synthesis parameters to enhance membrane performance in terms of selectivity, permeability
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partnership with the Charles Sadron Institute, - Contributing to the development of dedicated acquisition electronics, - Conducting tests on the developed devices, - Analyzing the obtained data, - Optimizing
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hemp fibers produced in southern France for textile applications - Understanding and optimizing crucial processing steps." The TAFFTA project, which began in January 2024 and will run for 42 months, aims
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an optoelectronic process for 980 nm high-power diamond laser diodes. In this context, the role of the LSPM is to provide polycrystalline diamond layers 2 to 4 inches in diameter with optimized mechanical
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or related areas. No prior knowledge of cryptography is required. Expertise in optimization or efficient algorithm design will be considered an asset. Applications should include a CV, a list of publications
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of electrochemical reactions carried out under strong, controlled magnetic fields. Part of the work will involve establishing an in-situ characterisation method, supplemented by research into optimal experimental
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validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and
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performing numerical simulations using in-house scientific softwares. In-depth knowledge of materials science or crystallography is not required. Website for additional job details https://emploi.cnrs.fr
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of chemically storing and releasing hydrogen, using methanol as a reservoir. Main activities: • Utilize global optimization codes and perform DFT calculations on supercomputers. • Analyze results and