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. We are looking for highly motivated candidates with excellent analytical and programming skills, notably in a low-level language such as C and parallelization, and a sound working knowledge in quantum
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targeting large-scale computational resources that involves numerical methods, parallel algorithms, inter-process communication and synchronization, and at least one traditional high performance computing
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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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with job schedulers, e.g. SLURM, PBS, SGE, etc. ● Experience working at an academic institution ● Experience with parallel codes and libraries (e.g. MPI, OpenMP, Cuda) ● Experience with research and/or
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to an entrepreneurial ecosystem directly related to its industrial and socio-economic environment in Morocco and Africa. HTMR provides highly automated and parallel approaches to the development of new materials and
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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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occupational/technical programs and university-parallel/college transfer programs. The College Navigator plays a vital role in supporting students from initial inquiry through enrollment. This position provides
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occupational/technical programs and university-parallel/college transfer programs. The College Navigator plays a vital role in supporting students from initial inquiry through enrollment. This position provides
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 3 hours 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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| 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