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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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at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located. McGill University is an English-language
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references (including the PhD supervisor) Work location: This position is administratively based at the University of Saskatchewan. Priority will be given to candidates who can be geographically based in
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willing to work in the province of Quebec at the campus where the position is based / located. McGill University is an English-language university where most teaching and research activities are conducted
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of Quebec at the campus where the position is based / located. McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby
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based on performance and funding availability. The ideal start date is Sept 2025, however the position is subject to final funding approval. All qualified candidates are encouraged to apply; however
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: $48,000 per annum. (Salary to be determined based on the candidate’s skills and experience). Start date of appointment: 1 September 2025 End date of appointment: 31 August 2027 (2-year contract, renewable
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properties of matter. This includes developing technologies such as gas/liquid ionization detectors, cutting-edge FPGA-based electronics, and sophisticated digital signal processing systems. Position Overview
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: Develop and conduct a variety of laboratory-based analyses of soils, soil amendments, biomass, etc. using a variety of analytical techniques and instruments. Conduct research in biomass conversion including
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 21 days ago
biomedical techniques and technologies. The position will be based in McGill University's Department of Physiology, in Montreal, Quebec, Canada. The project’s objective is to further develop a high-throughput