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Field
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Analysis (TEA), and technology assessment in the context of suitable target applications. Interact with university researchers, graduate students and postdocs, as well as the BPI team to deliver
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students and postdocs, as well as the BPI team to build the ATR program Consequence of Error/Judgement This position initiates action or makes recommendations on actions based on analysis of data and reports
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, double bookings, etc); approve and deny bookings based on criteria - Software distribution: Monitor software request forms and perform initial triage of requests based on criteria - Outreach: Calendar
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 hours ago
calculus, linear algebra applied to coordinate transformations, probability distributions, systems of linear ordinary and partial differential equations and boundary value problems, Fourier analysis and
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the context of assessing current issues such as acidification, metal pollution, eutrophication and global climate change. Paleoenvironmental techniques are applied in the laboratory. Distribution Requirements
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, expense claims, ordering books, etc. Distance Ed program support (credit), as required. Includes setting up adjunct contracts, CRN setup, license requests and distribution, update payroll spreadsheet
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faculty before teaching can occur. Works with distributed staff/faculty to coordinate and manage access of Academic Sessions/Lectures delivery and content using both local and a distributed delivery system
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preparation and distribution of meeting agendas, takes and distributes meeting minutes. Books and sets up audio and video conferences, and other technology, for meetings within designated program. Troubleshoots
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Simon Fraser University | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 days ago
at all levels—developing new materials, designing creative and interactive technologies, engineering future hardware platforms like quantum computers, and writing the algorithms that power machine learning
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and synthesize relevant literature in machine learning, representation learning, and manifold learning. Propose and implement extensions to existing dimension reduction algorithms using contrastive