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large-scale, custom-designed digital signal processing readout system for the ATLAS experiment located at the CERN laboratory in Switzerland. Develop a prototype hardware implementation of different
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will design and implement scalable software infrastructure and data processing software for CHIME's massive datasets. The role includes algorithm development and data analysis of cosmology datasets
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application of these techniques to the domain of information science. Topics will include software principles and practices, programming concepts and techniques, data structures, and algorithms. This course is
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for outcome assessments for a range of brain diseases. The individual will schedule, train, and supervise research assistants, students, and instructors. They must ensure: 1) patient confidentiality and safety
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The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms, statistical
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. The ultimate objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms
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of existing algorithms and also to provide estimates of how this performance changes with different implementations, including predicted future hardware. Object identification and tracking can often be made
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Simon Fraser University | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
at all levels—developing new materials, designing creative and interactive technologies, engineering future hardware platforms like quantum computers, and writing the algorithms that power machine learning