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stacking, both high performance and (very) high density can be achieved by this concept. The mission will be to explore, understand and develop the fundamental physics of device operation. This will require
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l'analyse des études d'association Génome-Environnement (GEA) et de Décalage Génomique (Genomic Offset, GO) en s'appuyant sur les développements récents en optimisation et en inférence statistique. Plus
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are joint research and training projects funded by the European Union. Funding is provided for doctoral candidates from both inside and outside Europe to carry out individual project work in a European
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-Performance Computing for Exascale" contributes to the design and development of numerical methods and software components that will equip future European Exascale and post-Exascale machines. This program is
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(REMLA). This technology enables the direct conversion of expansion work into electricity without lubrication, without rotating parts, and with high adaptability to variations in pressure, temperature, and
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performance. A key objective is to examine how different KG embedding techniques can facilitate complex query answering. These techniques vary in their representation spaces and in how they define relational
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department at IETR in inkjet-printed OTFT fabrication and is part of the ANR-funded SMOOTH (Stable Metal-free Organic transistOrs Thanks to Homojunction) project, which will start in February 2025 and run
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The PhD work will take place in the framework of the ANR funded HENBoS project (2025 – 2029), which seeks to describe with unprecedented accuracy and scope massive black hole systems as cosmic accelerators
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their genomes evolve—through de novo gene emergence, modular recombination, duplication/loss, and horizontal transfer (HGT)—is essential for linking genome structure, function, and ecology. This thesis will
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. Delpierre (Univ. Paris-Saclay) and will also be co-supervised by M.-C. Bel-Venner (UCBL) and Vincent Boulanger (ONF). The doctoral student will work within the Quantitative and Evolutionary Ecology