96 phd-studenship-in-computer-vision-and-machine-learning Postgraduate positions in Canada
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approach that links detailed process measurements with integrated hydrometeorological and physical lake models. The successful candidate will enroll in a graduate program (MSc or PhD) in Natural Resources
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early September, within five business days of the launch of the competition To view instructions and other resources, consult the Canada Graduate Research Scholarship – Master’s program resources web page
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Job Description This is a funded PhD graduate student position available in the Biometeorology and Soil Physics Group at the University of British Columbia, Vancouver campus. The project is part of
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graduate and postdoctoral funding programs , the CGS-Master’s program will become the Canada Graduate Research Scholarship – Master’s (CGRS M) effective for the fall 2025 competition. The value, eligibility
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own awareness, knowledge, and skills related to equity, diversity, and inclusion. Preferred Qualifications Computer literacy and experience required (MS Word, Excel, Outlook, REDCAP). Experience with
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will have desk space and computer access. Organizational Status The individual will work under close supervision of a Senior Research Associate. The individual will report on a regular basis to the
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of recreational catch-and-release, temperature, and infectious agents on Chinook salmon: from marine environments to spawning grounds Esther Roorda Doctor of Philosophy in Electrical and Computer Engineering (PhD
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. Ability to communicate effectively verbally and in writing. Strong computer skills including Word, Excel, Outlook and Powerpoint are required. Ability to work under limited supervision, follow directions
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of over 30 years in the Department of Electrical and Computer Engineering. Students from her very first PhD graduate in 1985 to current lab members expressed deep appreciation for her profound generosity
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or questionnaires to Research Ethics Board (REB) in a timely manner; maintains database, records results, including computer data entry and/or observations and sample under supervisions. Assists in analyzing and