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rapid and significant shifts in power consumption, next-generation high-performance computing (HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs
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candidates: Education PhD in Chemistry, Biochemistry, or a related field with a focus on natural products and analytical chemistry. An equivalent combination of experience and education may be considered
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Description Dr. Jordan Guenette is currently recruiting highly motivated students for PhD positions starting in January 2026 or September 2026 in human exercise and respiratory physiology
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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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and its precursors while helping shape Canada’s leadership in SKA science and data infrastructure. HAA seeks to grow its expertise in areas that align with SKA science goals, including dark energy and
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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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(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
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practices. Qualifications: A PhD in the Social Sciences or the Humanities. Strong research and writing skills, demonstrated in the publication of multiple peer reviewed journal articles. Deep familiarity with
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-approved systems. Ensure adherence to data security and compliance protocols. Preferred Qualifications MSc or PhD in Bioinformatics, Computational Biology, Computer Science, or a related field. Strong
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of manuscripts, presentations, and grant materials Participate in lab meetings and contribute to the scientific discussion Qualifications: PhD in Neuroscience and Pharmacology, or other related disciplines Prior