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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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engineering, electrical engineering, data science, or a related field. Skills in embedded systems development, electronics, or IoT (C/C++, Python, Arduino/ESP32, etc.) OR in machine learning and sensor data
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field. • Background in composite materials, magnetic materials and devices, additive manufacturing and micro/nanofabrication, power electronics, electronic packaging and integration. • Experience with
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the SuccessFactors Careers module from your NRC computer.
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Tortell in the Department of Earth and Ocean Sciences. We are hosted within the Departments of Mechanical and Electrical & Computer Engineering on UBCs Point Grey campus on the unceded lands
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:• MSc degree in electrical engineering, physics, materials science, or a closely related field.• Background in composite materials, magnetic materials and devices, additive manufacturing and micro
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resilience and sustainable forest stewardship in the face of global changes.Support includes a competitive funding package, and also includes: designated lab/office space, computer and software, conference
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:• MSc degree in electrical engineering, physics, materials science, or a closely related field.• Background in composite materials, magnetic materials and devices, additive manufacturing and micro
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of transmission electron microscopes and/or scanning electron microscopes Knowledge of artificial intelligence and machine learning and their applications in electron microscopy Knowledge of computer programming
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Electrical & Computer Engineering, East Tennessee State University, and the Ludwig Maximilian University of Munich. Completion of a research-based master’s degree is required prior to commencing the PhD