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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 21 days ago
of this project is to develop advanced numerical strategies for passive imaging of the Earth and the Sun. The position focuses on enhancing the capabilities of our massively parallel software, Hawen (https
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. The institute offers a multidisciplinary environment that bridges fundamental discoveries with applied preclinical research. In partnership with IMATHERA (Preclinical Imaging and Radiotherapy Platform
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and/or image processing * Strong proficiency in programming with Python and Matlab * Good command of English Knowledge of solid mechanics would be an asset, but is not essential. Website for additional
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interacts with the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging
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to join the AI for Genome Interpretation (AI4GI) group at the IGMM (CNRS, Montpellier) for 18 months. The project is a collaboration between IGMM and IMAG, at the interface of genetics, bioinformatics
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from fossil fuels. Yet, many industrial and transport applications still rely on combustion due to their need for high energy densities and thermal processes. Electrofuels (e-fuels), produced from
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 7 days ago
located in the IMAG building on the campus of Saint Martin d’Heres (Univ. Grenoble Alpes) near Grenoble, under the supervision of Bruno Raffin (bruno.raffin@inria.fr ), Andres Bermeo (andres.bermeo
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FieldComputer scienceYears of Research Experience1 - 4 Research FieldMathematicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Skills/knowledge: computer vision, neural networks
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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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solution, e.g., event-based computing, which is particularly suitable for low-latency and low-power systems. In this promising computational paradigm, information is created, processed or transmitted only