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support from the University in preparing and developing the program application, including budget planning, proposal development and editing. This process runs in parallel with an academic appointment, in
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support from the University in preparing and developing the program application, including budget planning, proposal development and editing. This process runs in parallel with an academic appointment, in
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, particularly in: MATLAB; Parallel and cloud computing; Graphical user interface (GUI) development Familiarity with: Statistical modeling techniques; Database management; Neuroimaging methods; Neurobiology
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); Benoit Champagne ECSE 415: Introduction to Computer Vision; James J. Clark ECSE 416: Telecommunications Networks; Mark Coates ECSE 420: Parallel Computing; Dennis Giannacopoulos ECSE 421: Embedded Systems
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, information theory, clustering. Familiar with: computer science: tool development, 3D rendering, databasing, multi-threading, parallel port computing. Other qualifying skills & abilities: Excellent written and
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institutional recognition guidelines Envisions and creates a plan to implement, and manage, for a comprehensive donor recognition and stewardship program in parallel with the university's donor recognition
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 24 days ago
the logistical execution of events and programs, developing communication strategies, evaluating outcomes, and coordinating internal funding competitions. In parallel, the Advisor serves as a key resource on
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interpreting raw data streams from radio telescopes or similar data Experience in high performance computing, especially involving massively parallel applications Experience with cluster computing and job
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maintenance Experience in interpreting raw data streams from radio telescopes or similar data Experience in high performance computing, especially involving massively parallel applications Experience with
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libraries like NCCL/RCCL and experience with high performance computing middleware is highly desirable. Optimizations of large parallel code bases and experience with GPU programming languages such as CUDA