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Institut de Recherche pour le Développement (IRD) | Montpellier, Languedoc Roussillon | France | 9 days ago
these datasets, build models of carbon stock dynamics in ecosystems. Your work will contribute specifically to objective (2), focusing on quantitative IR spectroscopy. Over the past thirty years, many research
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carbon below the surface to sustain roots and symbiotic mycorrhizal fungi, forming a dynamic exchange network that governs water and nutrient uptake. Despite its importance, this underground system remains
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role We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training
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mechanical engineering, aerospace engineering or a related field. The candidate must have proven experience in numerical simulation in fluid mechanics and/or aeroacoustics; strong background in linear algebra
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candidate must have a proven experience in numerical simulation in fluid mechanics and/or aeroacoustics, as well as strong skills in linear algebra and signal processing. Website for additional job details
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related field. The candidate must demonstrated experience in numerical simulation in fluid mechanics and/or aeroacoustics; strong expertise in linear algebra and signal processing. Website for additional
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of the optical localization system for mobile robots in dynamic and unstructured environments. Main activities • Development of an optical localization method for mobile robots operating in indoor and/or outdoor
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Engineering, team “Biophysics of Metalloproteins and Dynamic Systems”) and Axel Magalon (Laboratory of Bacterial Chemistry, team “Microbial Respiration”), located on the CNRS Joseph Aiguier Campus. Both
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coming from 90 countries. Member of the "University of the Greater Region" (UniGR) A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour
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research, industry partnerships, and European initiatives, our client tackles an essential challenge: making AI smarter, leaner, and more sustainable. YOUR MISSIONS To strengthen this AI innovation dynamic