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title: CSC2701HY – Communication for Computer Scientists – Interview Training; 0.1 FCE (Sections LEC5101, LEC5201, LEC5301, LEC5401) *Please note, this is a 0.5 FCE course co-taught with other
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, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary
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demonstrate expertise in mathematics for machine learning, applied machine learning, data science, and time series analysis. The successful candidate should be capable of teaching a range of courses, from
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both independently and collaboratively in a highly confidential team environment; knowledge and understanding of medical terminology; proficient spelling and grammar skills; proven computer skills
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Associate Professor/Professor -JDMI UHN Chair in Medical Imaging and AI at the University of Toronto
experience in collaboration with a Department of Medical Imaging, prior successful grant applications as PI or Co-PI, patents in the field of AI or machine learning and successful graduate student supervision
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
on the responsible use of AI and machine learning to enhance data quality, automation, and analytical capabilities. Provide technical leadership on data quality, standards, and methodologies across core scanning
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; proficient spelling and grammar skills; proven computer skills including keyboarding and proficiency with electronic medical records and Microsoft Office Software are essential. Confidence in the ability
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well as part of a team; ability to function under pressure and in stressful situations; ability to evaluate the work of others; sound computer knowledge and proficient with Microsoft products. While applicants
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underpinning fundamentals such as fluid mechanics, dynamics and control with application of recent advances in artificial intelligence, machine learning and multidisciplinary design optimization
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on programmatic and research needs Familiar with utilizing and understanding common machine learning techniques Supervise the work of junior developers/co-op students and undergraduate trainees, which includes