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eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the hiring
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, and 6.75 FTE staff members (including the Administrator) . There are 53 MA and 45 PhD students. Admission into these programmes is by application, and almost 200 are received each year. Approximately
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Nature Careers | Winnipeg Fort Garry NE University of Manitoba, Manitoba | Canada | about 2 months ago
the area of structural or spatial mass spectrometry-based proteomics, combined with innovative machine learning, commencing at the Manitoba Centre for Proteomics and Systems Biology on October 1, 2025, or a
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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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applications of machine learning for textual transcription; specialist imaging techniques including multi-spectral imaging and micro-CT scanning; the mediation and digitization of social processes; artistic and
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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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the role that libraries, librarians, books, and the publishing industry have played during and in the aftermath of regional and global political and military conflicts. Through a specific investigation of
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have an earned PhD in Electrical and Computer Engineering or a related discipline at the time of appointment. Successful candidates are expected to lead an independent research program of international
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salary, inclusive of a generous benefits package, eligible leaves and pension plan. Requirements Applicants must have an earned PhD in Electrical and Computer Engineering or a related discipline at the
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shared laboratory space and a novel Immersion Laboratory for computer-assisted participatory research. The successful candidate will also have access to extensive computational resources, including