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As of 2023, the guidelines for the D2L Innovation in Teaching and Learning award have been amended to recognize collaborative innovations. Please review the updated application process and
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natural disturbances and human activities across the boreal region. The ideal candidate will have strong written/verbal communication skills, experience in experimental design and execution, strength in
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wetland or peatland environments will be considered strong assets. The ability to design spatial analyses, troubleshoot data challenges, and synthesize results for both academic and applied audiences is
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and user-design (University College of Dublin, Ireland), as well as computer and electronic engineers at UBC, University California Irvine (UCI), and University of Turku (UTU), Finland. Responsibilities
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surveillance research using new adverse drug event data being generated by a technological intervention designed to improve clinical communication of patients’ adverse drug events. The successful applicant will
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using new adverse drug event data being generated by a technological intervention designed to improve clinical communication of patients’ adverse drug events. The successful applicant will join the
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 15 hours ago
inferential statistics, and the creation of results tables and summaries. Conduct qualitative data analysis, including dataset preparation, coding, and development of thematic frameworks. Design and refine
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of flash-back; f) Use experimentally developed models to perform CFD simulations, analyze data, develop knowledge regarding flash-back, and use this knowledge to propose new burner design to eliminate flash
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of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and
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to develop data-driven, space-time explicit precision agronomic solutions Utilizing high-performance computing (HPC) systems for large-scale geospatial data processing, model training, and validation Designing