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with PERL’s mission Our Science & Evidence learning tracks: Pandemic prevention & risk anticipation (e.g. primary and secondary prevention, surveillance innovation, spillover risk modeling, zoonoses
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approaches (based on functional programming abstractions) to optimize the implementation of machine learning models and other digital signal processing algorithms on a specific FPGA architecture to fit within
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 22 days ago
Responsibilities: Serving as a key advisor to the Director Operations by making recommendations on the accurate, transparent, and efficient use of funding and the development of a sustainable financial model for
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pathology and medical science. Departmental members are engaged in research that expands our basic understanding of human health, disease, and its treatment in order to model optimal pathology practice