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/14630/phd-position-in-ai-architecture-optimisation/ Work Location(s) Number of offers available1Company/InstituteUniversity of NantesCountryFranceCityIETR and DLRGeofield Where to apply Website https
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at unprecedently low overpotential and high current densities. The PhD will involve the preparation of the Cu-containing layer, the study of several hybrid electrode architectures, and the benchmarking of CORR and
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PhD thesis: Graph Neural Networks for Predicting Power Consumption in Digital Electronic Architectures Power consumption analysis is an important step in the development of a digital architecture
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designing custom and embedded Artificial Intelligence HardWare architectures (AI-HW) to support energy-intensive data movement, speed of computation, and large memory resources that AI requires to achieve its
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of the work is to define a methodology for systematically integrating technological choice into the flow, with identification of the best configuration of the implemented architecture for maximizing
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for the development of a decision-making tool to assist the evolution of local electricity networks integrating a growing share of renewable energies. PhD objectives and methodological approach The PhD student's main
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17 Apr 2024 Job Information Organisation/Company CEA List Institute Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher (R1) Country France Application
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17 May 2024 Job Information Organisation/Company INSA Rennes Research Field Computer science » Computer architecture Computer science » Computer hardware Computer science » Digital systems
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antimatter observed in the universe. In parallel with the physics analysis, the PhD student will be working with the CCLab team on the development of CMS software for offline data reconstruction. This will
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. Finally, based on an open, free RISC-V architecture, this work will ensure the durability of the systems designed, and their independence from changes in commercial architectures. This PhD project is