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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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to the development and ongoing stewardship of a welcoming and culturally grounded learning environment through activities that support decolonization of physical spaces and program initiatives. Additionally
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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
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lead an independent research program in computational oncology, centred on new quantitative and machine-learning methods that integrate single-cell genomics and spatial profiling to study cancer
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Information Computational complexity in adiabatic quantum computation AI to boost quantum technologies (e.g., machine learning for quantum error prevention/mitigation/correction) Quantum machine learning