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program of research /scholarship and engage in service to the university and community.” QUALIFICATIONS PhD or other doctorate; consideration may be given to doctoral candidates who will complete
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Delivery Mode: Virtually Course Schedule: Asynchronous Expected Enrollment Limit: 250 Location: Saskatoon Qualifications: Completion of a graduate degree, PhD preferred, in Mathematics & Statistics
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together the brightest minds who have completed a PhD in the natural sciences or engineering and who aim to pursue a research project that includes the application of artificial intelligence (AI
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Supervisor: Joann Whalen, PhD Department of Natural Resource Sciences Macdonald Campus; McGill University Position Summary: Use modern digital communication techniques to engage stakeholders interested in soil
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Course Name, Abbreviation and Number: GE 210 – Probability and Statistics Start and End Dates: September 2 to December 31 Qualifications (Skills and Abilities) MSc or PhD student in good standing enrolled
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documenting programs, using C or Python. Qualifications/Requirements of Position The successful candidate should have a PhD in Computer Science, Engineering or related field. Candidates must have a strong
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or relevant Master’s degree (PhD preferred). Significant capability in the area of Staffing and Planning by directly related work experience. Evidence of strong teaching potential/experience. Candidates with
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physics, environmental instrumentation and use of programming languages like MATLAB and R. Applicant would also be enthusiastic, with potential to be advanced to the PhD level. A valid driver’s license is
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pm to 8:30 pm Expected Enrollment Limit: 35 Location: Saskatoon Qualifications: Minimum of a Master's degree in an interdisciplinary sustainability field or cognate area; PhD is preferred. Must have
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 21 hours ago
TA Support: TBD Qualifications: PhD in-hand, preferably in philosophy. Prior experience as a course instructor, preferably in Philosophy at U of T. Advanced prior knowledge of the subject-matter of