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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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chemistry, with experience planning and troubleshooting synthetic routes and performing parallel library synthesis. The ideal candidate should have experiences with one or more of the following: working with
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chemistry, ideally with experience in performing reactions in parallel, handling automated kinetic instruments, and associated analytical techniques (HPLC, GC). Knowledge of Design-of-Experiment and automated
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interactions among the office team as well as with the broader campus community. Effective with time management skills, including strategies for: prioritizing tasks; coordinating multiple events in parallel; and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
; knowledge of application deployment and desktop management technologies such as SCCM, Parallels, RDP and Apple Remote Desktop; installing, configuring and supporting software applications such as SPSS, SAS
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user accounts on HPC platforms. Diagnoses and trouble shoots user connection problems. Compiles, tests and optimizes the performance of serial and parallel applications, including applications with
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Department GENERAL DESCRIPTION Conduct further research on the NSF funded project “Enabling Extremely Fine-grained Parallelism on Modern Many-core Architectures”. Benefits Our commitment to employee well-being
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using the programming language Fortran. Experience or willingness to run numerical models on parallelized supercomputers. Experience in the analysis of model output using Python or a similar high-level
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| Computer Science and Engineering Initiates and leads research and development in the areas of data management systems for high performance computing (HPC), parallel computing systems; collaborates with
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this CRP project is necessary. • Good writing and presentation skills are expected. • The position is suitable for conducting a Part Time PhD project in the MSE department in parallel. More Information