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. The current state of the art [5] shows that there are efficient algorithms to factor the reduction L mod p ∈ 𝔽_p(x)[∂] of the operator L modulo p. A first task is to lift this algorithm into a p‑adic
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centres for life-science research. It offers a highly international and collaborative environment, with access to state-of-the-art facilities in imaging, proteomics, cell biology, and biophysics
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has state-of-the-art scientific equipment, from synthesis to characterisation of molecular materials Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5031-CORAME0-057/Default.aspx
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. Development and integration of state-of-the-art machine learning techniques in the analysis and event reconstruction will be a major component of this work. - Characterization of silicon detection modules using
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environment combining cell biology, advanced microscopy, and quantitative analysis, with access to state-of-the-art imaging platforms and international collaborations. Research Work Environment Resources
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(attenuators/shutters, low-profile and highly directional antennas) with a view to surpassing the current state of the art. The work will be carried out at the XLIM laboratory, UMR 7252 CNRS/University
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, which is internationally recognized for its research in micro- and nanotechnologies, biointerfaces, bioelectronics, and biosensors. The candidate will benefit from access to state-of-the-art facilities
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applications for a two-year postdoctoral position on the topic “War and Peace.” This topic has been identified by CNRS SHS in its foresight exercise as a scientific priority (https://www.inshs.cnrs.fr/fr
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. Achromatic MSs are essential for full-color imaging, depth-resolved visualization, and high-fidelity optical systems, where chromatic aberrations can degrade performance. This postdoctoral project aims
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* structured along five design dimensions — perceptual, narrative, semiotic, interactional, epistemic — whose parameters (visual identity, focalization, dramatic intensity, level of explicitness, metaphor