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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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projects. Communicates and acts in a respectful and professional manner, collaborates effectively, abides by policy, and contributes to a positive and productive work and learning environment. Engages in
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teaching and learning by complimenting instructional and assessment practices through big data collection, machine learning and sophisticated prediction. Some see the promise of AI through the fulfillment
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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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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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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 months ago
simulation and lab learning experiences (e.g., instruction and demonstration of nursing skills) in undergraduate programs; incorporate best practice and evidenced-based research in simulation program
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Applications will be reviewed on an ongoing basis and the position may be filled prior to the posting deadline. Job Number: J0626-0313 Job Title: Research Operations Coordinator (Grant-Funded
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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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. Communicates and acts in a respectful and professional manner, collaborates effectively, abides by policy, and contributes to a positive and productive work and learning environment. Engages in continuous
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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