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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
Scarborough Department: Department of Computer and Mathematical Sciences Campus: University of Toronto Scarborough (UTSC) Description: The Department of Computer and Mathematical Sciences at the University
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is a key part of our majors. Primary Purpose: To coordinate, supervise and teach undergraduate laboratory components of Methods in Laboratory Techniques (BMSC 240), and Methods in Cell and
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Engineering, Electrical or Computer Engineering (with a research focus in Software), or an equivalent field or be within a year of completion. The candidate must have a demonstrated record of research
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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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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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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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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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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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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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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