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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 12 days ago
- Parallel Programming (emergency posting) Course description: Introduction to aspects of parallel programming. Topics include computer instruction execution, instruction-level parallelism, memory system
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storage, research data management and training services Providing or arranging training for researchers in specialized areas of Advanced Research Computing, e.g. Big Data processing, parallel programming
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 6 days 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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out of the plate wells, and the printing of the initial spheroids from which the organoids grow. Another parallel task is to obtain and culture endothelial cells. The endothelial cells are to be added
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-performance servers, with attention to standardized file structures, metadata curation, and secure access controls. In parallel, the successful applicant also manages and maintains an internal project tracker—a
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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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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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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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); 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