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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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. Together the two departments are primed to chart new pathways for transforming health system innovations using AI and Machine Learning (ML). UBC’s campuses are located on the traditional, ancestral, and
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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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, 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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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 3 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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include AI-driven metadata management, machine learning applications in cataloging and discovery, and the ethical concerns surrounding bias, privacy, and surveillance in AI systems. The course will also
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Vision conferences, CVPR, ICCV, ECCV and peer reviewed journals. Minimum Qualifications: PhD in Computer Science or a related field obtained within the last five years. Strong skills in machine learning
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knowledge; technological support for decision making (including predictive analytics, machine learning and artificial intelligence); the main types of information systems in health care and their design; and
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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
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Posted: May 29, 2025 Tier 2 Canada Research Chair Faculty Position in Supercomputing and High-Performance Computing Department of Electrical and Computer Engineering Queen’s University at Kingston