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, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary
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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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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 1 day ago
-to-optical devices. Disseminate research in journal papers and at conferences. Fostering learning Provide scientific advice and mentoring to students. Attend relevant conferences and workshops to collect
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until a suitable candidate is identified. The terms and conditions of employment are covered under the UCalgary and PDAC Collective Agreement. To find out more about postdoctoral scholar program at
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is a collaboration between the Pollock lab and Habitat (an environmental consultancy) partially funded by Mitacs. The project will develop innovative tools to monitor biodiverisity change in the Saint
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us to expand our capacity for diversity in the broadest sense. In addition, to correct the conditions of disadvantage in employment in Canada, we encourage applications from members of groups that have
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must meet all of the eligibility criteria to be eligible. General conditions To be eligible to apply, you must: hold or expect to hold a doctorate or health professional degree before the start date
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are not limited to superconducting quantum circuits, circuit QED, quantum error correction, microwave quantum optics, variational quantum algorithms, and the application of machine learning to quantum
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 2 months ago
fluorescence data. Developing machine learning methods to optimize data collection. In addition, the project is committed to developing open source tools that benefit the imaging community. The applicant will
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: Post-Doc in the area of AI-based solutions for high-level decision-making for robotic systems. Development, testing and evaluation of the co-planner assistant for operation of harvester machine