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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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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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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
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Organizational Unit: Aquatic and Crop Resource Development Classification: RO Tenure: Continuing Language Requirements: English Work Arrangements: Due to the nature of the work and operational requirements
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Organizational Unit: Herzberg Astronomy and Astrophysics Classification: RO Tenure: Continuing Language Requirements: Three English positions and one bilingual (French/English) position (CBC/CBC). Work
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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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Organizational Unit: Quantum and Nanotechnologies Classification: RO Tenure: Continuing Language Requirements: English Work Arrangements: Due to the nature of the work and operational requirements, this position
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the supervision of Dr. Robert Froese. This PhD student will address the DIVERSE project theme focused on the assessment and mapping of functional diversity and redundancy at the national scale, using remote sensing