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Number: COMP 360 - Course Title: Algorithm Design. Hours of work (per term): 90 Required duties: • - effectively and timely communicate with the instructor and the students; • - maintain and observe
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work independently on complex projects. Experience and Education Master’s degree in Software and Computer Engineering (French engineering schools are preferred). Experience in optimizing ML algorithms
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AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical imaging QUALIFICATIONS Successful applicants will have: a PhD in
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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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are not limited to superconducting quantum circuits, circuit QED, quantum error correction, microwave quantum optics, variational quantum algorithms, and the application of machine learning to quantum
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are not limited to superconducting quantum circuits, circuit QED, quantum error correction, microwave quantum optics, variational quantum algorithms, and the application of machine learning to quantum
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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
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Course Number, Section, and Name: ECUR 309 G85 | Introduction to Elementary English Language Arts (SUNTEP) Term and Course Dates: Term One CRN: 85557 Delivery Mode: Lecture Course Schedule: Thursdays, 9
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offered as a Lecture Course Schedule: Tue, Thur 10:00 AM - 11:20 AM Expected Enrollment Limit: 110 Location: Saskatoon Qualifications: A M.Ed. degree (or equivalent graduate degree) and relevant teaching or
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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