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Project Title: Computer Vision Applied to Swine Production and Processing Context: Computer vision and artificial intelligence (AI) are revolutionizing many sectors: healthcare, transportation
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automatic milk feeders (AMF) and accelerometers have shown promising potential, but no integrated, operational solution is currently available for producers. Objective of the PhD Project : This project aims
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/Objective: Working under the supervision of Dr. Tracie Barnett (fund holder) and Dr. Paula Bush, the Research Assistant will participate in research activities associated with the projects of the Data
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minimizing power loss and simplifying the circuits design, IVRs contribute to better thermal management and thus to a higher overall system efficiency. This PhD research project targets the development
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: The successful candidate will work primarily on the following sections of the project. Data analysis: In conjunction with Dr. Deborah Maia de Lima and Dr. Claudia Mitchell, the candidate will : 1) Transcribe and
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@ECItorontomet (external link) on Twitter, and visit our LinkedIn company page (external link) . About the Project This project examines the experiences of teachers working with students from refugee
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with the SKA community. This includes supporting users, coordinating Canadian participation in international Key Science Projects, contributing to SRC development, and facilitating new collaborations
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candidate at a Canadian university whose project advances science-informed decisions/decision making in the public interest with respect to natural resources in Canada. Advancing science-informed decisions
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, and enabling faster power management loops with better power integrity and savings. By minimizing power loss and simplifying the circuits design, IVRs contribute to better thermal management and thus
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PDN interconnects, and enabling faster power management loops with better power integrity and savings. By minimizing power loss and simplifying the circuits design, IVRs contribute to better thermal