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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 6 days ago
languages and a machine-oriented programming language (typically C). What goes on in the system when programs are executed. Core topics: creating and using software tools, pipes and filters, file processing
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experience using hand and power tools Clean driving record required Possess a willingness and ability to support a diverse and inclusive environment Certifications preferred but not required: Software House
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workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for machine learning and AI acceleration. Perform
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innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
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JOB SUMMARY The Physiological Acoustics Lab (http://escabilab.uconn.edu) at the University of Connecticut seeks applicants for a postdoctoral position in systems and computational neuroscience
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, or assistive tools Ability to collaborate respectfully with diverse staff, learners, and community members Comfort asking questions and requesting accommodations when needed Basic computer or assistive
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, infrastructure management, and serving as the primary liaison with the College Computer Center and university IT services and security offices. The Associate Director is responsible for helping researchers in
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sustainability challenges through synthetic biology in filamentous fungi. The lab develops tools and approaches to both study and engineer molds and mushrooms for a variety of purposes and applications. Your work
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’ commitment to its employees includes maintaining and fostering a safe, diverse, and respectful workplace environment, creating employment opportunities for our nation’s military veterans, and ensuring
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and experienced AI technical leader responsible for driving the technical strategy, design, and implementation of Artificial Intelligence and Machine Learning (AI/ML) solutions across the university