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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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of information on public issues. The RDC offers both lecture space and a computer lab for tutorials. While the specific goal of this course is to introduce students to empirical methods for the analysis
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jurisdictions utilizing land use-value assessment estimates. Duties include, but are not limited to: development of computational methods, maintenance of current models and data sets, identifying and testing
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computer vision methods. Responsibility will include developing and document applications, supporting high level thinking and organization of overall strategies, and conducting literature review. Not
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computer vision methods. Responsibility will include developing and document applications, supporting high level thinking and organization of overall strategies, and conducting literature review. Not
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the context of several distinct policy areas, including health care, environmental protection, tax and economic policy, family policy, and drug control. Estimated course enrolment: 50 students Estimated TA
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will be drawn from Canadian government policy developments and Budgets during the session. Estimated course enrolment: 25 students Estimated TA support: N/A Class schedule: Thursdays 10am-1pm
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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably Bachelor’s degree in Computer Engineering, Computer
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Computational Algorithms (MSCA) team. POSITION PURPOSE This role is designed to support IHME’s growing work on the Burden of Proof (BoP) framework and risk-attributable burden estimation. The successful applicant
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the development, coordination, and execution of policy and methods. Assigns, trains, supervise, and evaluates subordinate staff for field observation, scheduling and technical support. Reviews and approves data