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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
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, multi-user software, and distributed or parallel computing is an asset. The ideal candidate should be well-versed with the fundamentals and state-of-the-art of EEG and MEG signal processing. Other
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collaborative research projects using appropriate software tools and custom-written programs and scripts. Responsible for overseeing the quality control process to ensure that all data released by the SBC (NGS
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show initiative in contributing to the department’s programs and curriculum development. The successful applicant will be expected to establish and maintain an independent, active, and externally funded