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Field
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-track faculty position at the rank of Assistant Professor beginning in August 2026. Areas of particular interest include computer architecture, embedded systems, GPU architectures, SOC and ASIC design
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) 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 networks (PDNs
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postdoctoral research experience in academia or industry. Demonstrated scientific expertise in tumor immunology and target discovery for immunotherapies Excellent programming skills for reproducible data
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Science, or related fields, with a strong software engineering background. Solid programming skills, e.g. Python. Solid experience in GPU programming and HPC development. Familiarity with numerical weather prediction
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techniques and probability theory ● GPU Programming: Experience with GPU programming and optimization for ML models, utilizing frameworks, like CUDA or OpenCL ● Experience with applied computer vision, such as
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that address real-world challenges and deliver positive business outcomes. The Institute for Insight is equipped with a computer cluster that includes multiple GPUs, designed for big data analytics for both
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the use of and scientific application programming for supercomputers Knowledge in GPU-based programming and modelling of scientific simulations are desirable Programming experience in C, C++, or Fortran is
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programming language (Fortran or C++) The ability to interface with, and potentially collaborate with, NCCS users on the users’ software Excellent interpersonal skills, oral and written communication skills
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, Azure) Exposure to GPU computing for data analysis Knowledge of AI/ML approaches relevant to omics data Practical understanding of biostatistics and statistical modeling Experience delivering
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 11 days ago
, synchronization, scalability, and familiarity with GPU programming; strong familiarity with Unix/Linux tools; solid experience with version control, debuggers, compilers, and profiling tools (e.g., perf, gprof