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18 Apr 2026 Job Information Organisation/Company CNRS Department Institut Jean-Nicod Research Field Language sciences Language sciences » Linguistics Language sciences » Languages Researcher Profile First Stage Researcher (R1) Application Deadline 8 May 2026 - 23:59 (UTC) Country France Type of...
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defined as Economic Theory, Game Theory and Information Economics, with a particular focus on one of the following subjects: (i) signaling games, (ii) dynamic cheap-talk, (iii) dynamic and competitive
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to the development and demonstration of ferroelectric spin–orbit (FESO) devices based on two-dimensional electron gases (2DEGs) in BaTiO3. The project aims to explore a novel platform for ultralow-power electronic
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-based and multiferroic circuit and device concepts aimed at enabling radically energy-frugal information processing. Recent advances in spintronics and ferroelectrics show that combining magnetic and
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
out and analyze simulations based on these, with possible modifications to the integrated model. Forests are terrestrial ecosystems of major importance, and forests in metropolitan France are among
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highly polar bio-based polymers, including poly(hydroxyurethane)s (PHUs), with relaxor properties. • The PHUs will be polymerized from bio-based dicarbonates and long-chain diamines to promote
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. The position is primarily based in the Electronics team of GREYC in Caen, France (20 permanent researcher and 3 permanent Engineers and Technician). The successful candidate will work within the functional oxide
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD in computer science, deep learning, or data science. Experience with multimodal models for biological data. Website
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will be responsible for: - Conducting a literature review on nickel-based anode nanomaterials for the oxidation of oxygenated organic compounds. (Literature review report due in the first quarter
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and