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international collaborators to gain insight into how cancers initiate, develop and acquire resistance to treatment. More information on the department and research we conduct can be found here https
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data Prior experience teaching this course (or a similar course) at the university level Ability and experience teaching large classes Preferred qualifications: Industry experience in predictive modeling
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opportunities. For more information, please visit: https://hr.ubc.ca/working-ubc. An application package should include: 1. A cover letter (1 page) 2. The main application, containing the following sections: a
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Date: October 16, 2026 Where to apply Website https://www.timeshighereducation.com/unijobs/listing/415636/canada-research-cha… Requirements Additional Information Work Location(s) Number of offers
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, preferably supporting executive members in a large, complex organization. Proven ability to manage executive level calendars, communications, and confidential information with a high degree of discretion and
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advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling, organizing, and analysing large
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | 2 days agoPosted: September 15, 2026 Tenure-Track/Tenured Faculty Positions in Supercomputing/ High-Performance Computing Department of Electrical and Computer Engineering Stephen J.R. Smith Faculty
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courses. The department’s greatest current needs are in operating systems and computer architecture, and applicants with expertise in these areas will be given preference. We also welcome applicants with
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development, engineering big-data systems, and engineering secure software systems. MS in Information Systems Bridge is focused for students with non-STEM, non-technical bachelor’s degrees
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social and ecological data on biodiversity and other benefits of perennial agricultural features. We seek candidates with expertise in landscape ecology, agroecology, agrobiodiversity, ecosystem services