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, biochemistry, molecular biology, protein engineering, computer science, artificial intelligence/machine learning, biophysics, nanotechnology, etc., are encouraged to apply.
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, artificial intelligence/machine learning, protein engineering, nanotechnology, genomics, parasitology and tropical medicine, neurodegenerative diseases, and gene editing.
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electron emission and its application in electron source and energy harvesting. Delaram Behnami Doctor of Philosophy in Electrical and Computer Engineering (PhD) A machine learning framework for automated
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Cognitive Sciences Health Research Human-Computer Interaction Machine Learning Machine Perception, Speech Technology and Computer Vision Mobile Computing Natural Language Processing (including Information
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to the advancement of learning or to win distinction in a profession. A Killam scholar should not be a one-sided person... Special distinction of intellect should be founded upon sound character." Killam Doctoral
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of Philosophy in Electrical and Computer Engineering (PhD) Optimal experiment design for accelerated testing of integrated circuit wear-out reliability Priye Iworima Doctor of Philosophy in Biomedical Engineering
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. Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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Masters Doctoral The Friedman Award for Scholars in Health supports learning and research opportunities for graduate students or medical residents working in the broad area of health, to bring new
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Chemistry (PhD) Development of new methods and applications of sulfur-fluoride reagents for chemical synthesis Esther Roorda Doctor of Philosophy in Electrical and Computer Engineering (PhD) Machine learning
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Kahou Doctor of Philosophy in Economics (PhD) Can machine learning enhance economic models with heterogeneity? Antonin Lacelle-Webster Doctor of Philosophy in Political Science (PhD) Democratic theory and