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The Department of Political Science at Carleton University is one of the largest in Canada. It encompasses thirty-five faculty members, who teach and research in all fields of the discipline and
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damage of wheat. The project requires fabrication of the dual camera machine vision system based on artificial neural network/deep learning and quantification of alpha-amylase activity in sprout affected
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The Ingenuity Labs Research Institute and Machine Intelligence and Human-Robot Interaction Laboratory (MItHRIL) at Queen’s University in Kingston, Ontario, Canada, is recruiting two (2) PhD students
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 13 days ago
well as healthy older people. You will be using generative machine learning models, which may include different approaches of generative deep learning (e.g., generative adversarial networks and diffusion-based
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Assistant Professor, Teaching Stream - Contractually Limited Term Appointment - Software Engineering
. An additional two-year renewal may be possible. Applicants must have earned a PhD degree in electrical and computer engineering or a related area by the time of appointment, or shortly thereafter with a
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of Post-doctoral experience with demonstrated academic and research expertise in the field of distributed systems. Skills – Strong background in distributed systems and machine learning. Ability to work
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. Akbarzadeh Department: Bioresource Engineering Position Summary: The primary duty is to support and contribute to ongoing research projects, specifically on the modelling/homogenization and machine learning
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student - $20/h; PhD student - $23/h + 4% vacation indemnity Hours: Up to 5 hours per week Duration: ASAP to May 15, 2024 Position Context Teaching and Learning Services is seeking currently registered
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facilitate in person cohorts. Participate in discussion forums with students; attend synchronous sessions and facilitate breakout groups; support asynchronous learning Grade assignments (if needed) Manage
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of three facets of Machine Learning, RL has far broader scope than the narrower tools of supervised and unsupervised learning. RL, being founded on agent design, has the goal of developing artificial