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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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natural experiment cohort studies in Canadian cities to assess the implementation and impact of built environment interventions on travel behaviour, physical activity, social connectedness, and well-being
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
: · PhD in Mathematical Biology, Ecological Modeling, Economics, Fisheries Science, or a related field. · Strong background in ecological and/or economic modeling, population dynamics, and quantitative
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equitable research environment that values diversity in all its forms. To learn more about ongoing research and recent publications, please visit: https://kaushiklab.com . Why MUN? The Faculty of Medicine
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A PhD position is available in the laboratory of Dr. Numa Dancause at the Université de Montréal, Department of Neurosciences. Our group investigates the mechanisms underlying movement control
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Blais, the Theory of Superconducting Quantum Devices group specializes in quantum computing and quantum optics in circuit QED, a leading quantum computer architecture. Areas of interest include but
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implementing quality assurance and quality control (QA/QC) test Designing testbenches, and contributing to firmware programming for state-of-the-art FPGA architectures, primarily Intel FPGAs. Collaborating
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of tundra phenology changes. This research will help predict landscape and ecological shifts across the tundra biome in response to ongoing global climate change. As part of the research team, you will
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seeking pragmatic and applied scholars who are eager to produce research that informs real-world action, not just theory. Applicants must have: A recent PhD (within the last 5 years*) in public/global
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training and guidance to junior undergraduate and graduate students. Education: A PhD in Neuroscience, Computational Neuroscience, Machine Learning in image analysis, or a related field, with significant