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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 hour ago
innovations using AI and Machine Learning (ML). UBC’s campuses are located on the traditional, ancestral, and unceded territories of the Syilx (Okanagan) Peoples and of the Coast Salish Peoples, including
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. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our
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program evaluation. Competence with various computer applications and technologies for teaching & learning When applying, please upload a cover letter and CV/resume and mapping of your experiences
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for a full-time tenure stream position in the areas of Machine Learning and/or Self Driving Labs applied to Drug Discovery, Pharmacology and/or Toxicology at the rank of Assistant Professor, with
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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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academic experience (research, teaching and learning) issues as they relate to generative artificial intelligence, (b) facilitating project work to ensure deliverables are met within the required timeline
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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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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
policies and programmes. These responsibilities include programme review and improvement, accreditation and self-evaluation, assessment of student learning and advancement of student success, academic
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, research areas include Operations Research, Information Engineering, Human Factors, and Applied Machine Learning, all of which seek to improve the systems we as humans rely on to navigate our world
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datasets, including time-series analysis and machine learning applications. Use spatial statistical tools to relate remote sensing and in-situ observations. Proficiency in geospatial software platforms