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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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role in intracellular transport. As such, they play an important role in nuclear positioning. Our team is studying, in a developmental context, how multiple microtubule networks cooperate to position
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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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carried out within the Theory team of the Solid State Physics Laboratory (CNRS-UMR 8502). This research project receives funding from the French National Research Agency (ANR). Self-assembly
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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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extensive experience in data analysis. Approximately 25–30% of the KM3NeT detection lines are currently operational, along with the real-time analysis platform • Real-time search for cosmic neutrino sources
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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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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