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over the course of the project. References: - Deneu B et al (2021) Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Comput
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systems. In particular, highly functional flexible electrochromic (EC) systems involving the integration of several active materials (metal oxides, electrolytes, network of metal nanowires used as
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29 Aug 2025 Job Information Organisation/Company CNRS Department Centre de Recherche en Psychologie et Neurosciences Research Field Neurosciences Psychological sciences » Cognitive science
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that couples high‑performance computing with instrumental platforms integrated in the UPPA‑Tech network. Five platforms are directly supported by IPREM: POLYCaTS (polymer analysis and characterisation
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testing of heterogeneous catalysts - Knowledge of catalytic reactors and GC analytical tools - Knowledge of polymer materials, of silicon reactivity Website for additional job details https://emploi.cnrs.fr
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FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria - Knowledge of G-protein-coupled receptors - Good
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mechanical properties, based on vibrations generated by ambient noise in the reactor. Noise sources in the reactor can be of various origins. Given the lack of knowledge or the difficulty in determining
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- Solid knowledge of existing literature in optimization and/or symbolic computation - Strong skills in programming with scientific and/or symbolic computing tools Website for additional job details https
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/Pytorch/scikitlearn deep learning platforms - Knowledge of biology and medical imaging methods: MRI, MRS - English: high level Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7348
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - Experience with detector hardware and knowledge in silicon-based detectors - Expertise in C++ and python programming - Strong