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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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currently do not hold a TAship or do not have a profile in Workday: please apply externally using an external email address (do not use your @mail.mcgill.ca). Hiring Unit: School of Computer Science Course
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currently do not hold a TAship or do not have a profile in Workday: please apply externally using an external email address (do not use your @mail.mcgill.ca). Hiring Unit: School of Computer Science Course
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. The ultimate 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
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Computer Science or related field (recommended). Any educational training in Biology/Ecology would be considered an asset. Experience: Experience in python and web programming, image analysis algorithms, developing
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The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
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J1K2R1, Canada [map ] Subject Areas: Theoretical Physics / Quantum Optics Quantum Information Science Appl Deadline: 2025/09/01 11:59PM (posted 2024/08/29, listed until 2025/09/01) Position Description
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, Quebec J1K 2R1, Canada [map ] Subject Areas: Theoretical Physics / Quantum Optics Quantum Information Science Appl Deadline: 2025/09/01 11:59PM (posted 2024/08/29, listed until 2025/09/01) Position
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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a training dataset for developing machine learning algorithms for increasing the consistency of quality control in two cohort studies: healthy controls and epilepsy patients. Key Responsibilities