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the range of optimal physical parameters associated with flow/viscosity pairs of the algal solution in order to achieve good uniformity of residence times. The BioACE project aims to develop a new type of
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and optimization of metasurfaces exhibiting tailored spectral responses at selected near-infrared wavelengths • Development of angularly robust optical functionalities over wide ranges of incidence
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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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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
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and optimization of metasurfaces exhibiting tailored spectral responses at selected near-infrared wavelengths • Development of angularly robust optical functionalities over wide ranges of incidence
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-21-CE08-007 ended in March 2025). The work in N POLAR will focus on the development and optimization of this innovative process (hybrid semiconductor/metal/semiconductor heterostructures) in order to
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; one has been optimized for experiments using very high energy resolution soft X-ray resonant inelastic X-ray scattering (RIXS), with a state-of-the-art spectrometer and the other branch for soft X-ray
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 28 days ago
/classic/en/offres/2026-09790 Requirements Skills/Qualifications The applicant should hold a PhD degree in computer science, physics, mathematics, or a related field and have an excellent track record
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improved in several stages and continues to evolve. It will therefore be a question of carrying out the necessary technical upgrades and optimizing (fine-tuning) the different characterizations on reference