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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
implications for the development of diabetes. The position is based at the internationally renowned Lund University Diabetes Centre, offering a stimulating environment for diabetes research. Why join us
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
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motivated Neuroscience postdoctoral fellow. In addition to neuroscience research experience, having familiar with machine learning/AI/ big data processing will be an asset. A major part of this PDF
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The University of British Columbia’s Department of Physics and Astronomy and TRIUMF are seeking applications from recent particle physics graduates interested in a Postdoctoral position with the
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. Qualifications: Minimum of one year post-PhD experience in a research/academic position or industry position working on development of AI-based solutions for heavy industrial machines. Extensive code-base
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, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date Aug 31, 2027 The expected salary for this position is $60,000 CAD per annum, plus benefits. The expected term
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The expected salary for this position is $60,000 CAD per annum, plus benefits. The expected term for this position is 2-years. The candidate would be expected to apply to local postdoctoral awards (e.g., Michael
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contact information for three references to Chihya Hung (Chihya.Hung@ubc.ca ). Review of applications will begin upon receipt and will continue until the position is filled. Start date is negotiable but
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efforts to model nitrous oxide emissions reduction. Qualifying skills: We seek a candidate with experience working with quantitative and/or spatial data, including familiarity with programming environments