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significatives de la consommation d'énergie, les plateformes de calcul haute performance (HPC) de nouvelle génération utilisées dans les applications d'apprentissage automatique, de big data et d'intelligence
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PhD Thesis position in Composite Magnetic Materials and Embedded Magnetic Core power Inductors for Integrated Voltage Regulators in High-Performance ComputingContract: Full Time/Fixed Term for three
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: [mohamed.lamine.faycal.bellaredj@umoncton.ca]Context & Motivation:Because of their extreme computational needs where workloads demand rapid and significant shifts in power consumption, next-generation high-performance computing
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: Research Assistant for “Hymns of the Kaula Lineage: Critical Editions, Translations, and Studies from Early Modern Kashmir.” This Research Assistant will work with Prof. Stainton on a research and
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Septuagint Studies. Qualifications: M.A. in Biblical Studies, some years on the Ph.D. level, expertise in Septuagint Studies, good knowledge of Hebrew and Greek. Before applying, please note that to work
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interviews with the PI. Qualifications: Has or is working towards a PhD in a related field. Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 10 hours ago
Research Council Office across Canada Classification: RO/RCO Tenure: Term Work Arrangements: Depending on the nature of the work and operational requirements, positions hired through this program may be
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impacts on animal performance. Early detection of these diseases remains a challenge, as it still relies heavily on human observation, which is time-consuming and prone to error. Technologies such as
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student excellent research and writing skills background in music performance and improvisation Education/experience requirements: MA student Additional qualifying skills and abilities: Experience with
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learning, offers powerful solutions to automate these tasks and provide reliable real-time information. This doctoral project is part of a 5-year research chair on Computer vision applied to the swine sector