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of the model. The learning process then focuses on modeling the more complex, unknown aspects of the environment around these established truths. • Compositional reasoning for safety: We will explore how a
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since 2009, currently contributing to the analysis and operation of XENONnT. The XENON group at SUBATECH includes 5 permanent researchers (2 from CNRS, 2 from IMT Atlantique, 1 from the University
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process CV/cover letter selectionù interview Website for additional job details https://biocis.cyu.fr/ Work Location(s) Number of offers available1Company/InstituteCY universityCountryFranceState/Province
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on biodiversity, the processes and interactions that govern lake ecosystem functioning, and the past, present, and future dynamics of lakes. This involves studying the lake itself as well as connected zones and
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, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals are encouraged to apply
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neuroscience or signal processing. - You have good communication skills in English (speaking French is not a requirement). Research environment: Research will be conducted at the Institute for Neurosciences
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into asymmetric photochemistry and post-irradiation alteration processes. Duration: 12 months, renewable up to 3 years upon mutual agreement If you're passionate about exploring fundamental questions in
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desirable Good knowledge of the Luxembourgish social sector as well as the structures of non-formal education in Luxembourg is an asset Proficient in data processing and analysis software (e.g., Atlas.ti
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. Applicants should hold a PhD degree in Earth sciences, atmospheric sciences, physics, or similar fields, with: (i) a background in dust processes and lifecycle; (ii) experience in computer programing (Python
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
are central to a wide spectrum of industrial and environmental processes. Yet, the mechanics of granular systems remain opaque due to their multiscale, nonlinear, and history-dependent behaviour