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University of Guelph, AI Lab, School of Computer Science Position ID: University of Guelph -AI Lab, School of Computer Science -AIPLANTS [#29973] Position Title: Position Location: Guelph, Ontario
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. In order to address systemic barriers and increase diversity in the Canada Research Chairs Program and meet government-mandated requirements , selection will be limited to candidates who identify as
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), debuggers, code verifiers and unit test frameworks and gain experience in graphical user interface design and algorithm development. Posting end date: July 11, 2025 Number of positions (est): One (1) position
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- Calculus for Management MATH 123 - Linear Algebra and Probability MATH 133 - Linear Algebra and Geometry MATH 139 - Calculus 1 with Precalculus MATH 140 - Calculus 1 MATH 141 - Calculus 2 MATH 203
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achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career. Job Summary The Vision of the BC Brain Wellness Program is Brain
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Sessional Instructional Assistant - MAT302H5F - Intro to Algebraic Cryptography (emergency posting)1
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 11 days agocryptography, from Euclid to Zero Knowledge Proofs. Topics include: block ciphers and the Advanced Encryption Standard (AES); algebraic and number-theoretic techniques and algorithms in cryptography, including
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through its Weston Brain Institute is pleased to announce the launch of our flagship Rapid Response program designed to provide seed funding to catalyze novel, high-risk, high-reward translational research
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there is a change to the date/time) Location: Chancellor Day Hall Course Description: Technology law of how to regulate AI algorithms. How technological innovation produces social change: human
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Paused for 2026. The MSFHR Scholar Program supports early-career health researchers who are building leading-edge health research programs, training the next generation of scientists, and expanding
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objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms, statistical