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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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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
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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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and tethering. Combining functional approaches, (live) imaging and quantitative smFISH, (s)he will particularly focus on the contribution of localized RNA binding proteins and of the actin cytoskeleton
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 2 months 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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sometimes struggle to effectively sustain patients' learning throughout their rehabilitation journey and may not adapt to the evolution of their abilities. Rehabilitation is a complex process that requires
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10 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'informatique en image et systèmes d'information Research Field Engineering Computer science Mathematics Researcher
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, paleopathologies, etc.), supervise/coordinate additional analyses (medical imaging, chemical, isotopic and DNA analyses, etc.) in collaboration with partner laboratories; - Contribute to the project's scientific
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techniques) - Fluorescence microscopy, data processing applied to image analysis - Basic mathematical skills (proportionality rules) + statistical analysis - Knowledge of molecular mechanisms of bacterial
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
Offer Description Within the framework of the GraphRec Project, our team investigates improvements to the relational learning approach. Relational learning has recently emerged as a powerful paradigm for