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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 8 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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the Strategic Plan 2022–2026 : Towards the University of the Future. As Deputy Vice-Chancellor (Research), you will be responsible for driving ECU’s research excellence, innovation, and enterprise agenda
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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platform enables us to test hundreds of different conditions in parallel and assess their impacts on human immune responses, such as antibody production. We routinely work with industry partners to exploit
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in data science, computer science, computational biology, or a related field Solid programming and data science skills, including familiarity with Linux, Python programming, version control, continuous
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need to be enrolled in one of the EPFL doctoral school programs. This is a separate application process that you can start in parallel. We suggest that you apply to the Doctoral Program in Mechanics
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About the Administrative Assistant Position: At the CEE, we create, organize, and facilitate a variety of different opportunities for faculty to develop their teaching methods and practices
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of important problems). Desired: Extensive experience in parallel programming with MPI, OpenMP, C/C++, Python; experience working with data management and I/O libraries; experience as PI or co-PI on research
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programme, requiring the role holder to work dynamically to respond to the evolving schedule of these varied aspects. The success of these activities will require the role holder to manage different complex
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such data; hands-on experience in scaling up and/or parallelizing codes on HPC systems using languages such as e.g., C/C++, Fortran, Python; solid knowledge of parallel programming models (e.g., MPI, OpenMP