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trusted enablers of technology for the U-M community. ITS works together to provide cohesive digital experiences and seamless support to the U-M community. Job Summary The Advanced Research Computing (ARC
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/ External / View Profile U of T Employee Sign In More Filter Options: Campus and Job Category Loading... Clear Create Alert Apply now » Sessional Lecturer - CSC367H1S - Parallel Programming Date
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designing and supporting high-performance computing (HPC) environments, including compute clusters, GPU-enabled systems, job schedulers (e.g., Slurm), and parallel computing workflows supporting
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, curation, and large-scale annotation. St. Jude Children's Hospital has incredible high-performance computing resources. The lab leverages curated datasets from diverse sources, dedicated annotation
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results Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic
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-network surrogate models, physics-informed neural networks, uncertainty quantification, or digital-twin development. High-performance computing and parallel numerical workflows. Terms of Appointment
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active risk management / disruption prevention algorithms. Nonlinear trajectory optimization, nonlinear programming, or genetic algorithms. High-performance computing (HPC), parallel numerical workflows
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lead the people, services, and systems that support large-scale research computing across the University, including regulated and researcher-owned environments. This is primarily a managerial and service
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from multiple one-to-many tables, following written specifications, and using SQL or an equivalent data tool. They also process data fields that run in parallel using loops and arrays. The work