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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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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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@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 (HPC
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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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Managing and coordinating the provision and ongoing evolution of University of Saskatchewan Advanced Computing services and support, including institutional High-Performance Computing (HPC), research data
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to develop data-driven, space-time explicit precision agronomic solutions Utilizing high-performance computing (HPC) systems for large-scale geospatial data processing, model training, and validation Designing
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biology. Knowledge of machine learning, AI techniques, and statistical modeling applied to biological data. Proficiency with high-performance computing (HPC), cloud computing, or workflow automation tools
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troubleshooting operational anomalies in HPC systems is an asset. Good team player with strong focus on delivering results to meet the scientific needs. Self-motivated and demonstrated ability to work
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pipelines, proficiency in genomic association analyses, particularly involving large-scale datasets, and familiarity with cloud computing and/or high-performance computing (HPC) environments
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computing and/or high-performance computing (HPC) environments for bioinformatics workflows. The successful candidate must exhibit excellent communication skills; a demonstrated potential for excellence in