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to promote programs and opportunities. Producing complex statistical information, including providing advice and data to support the development of business cases and analytics for departmental initiatives
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enrolment: 30 Estimated TA support: based on enrolment – None Qualifications: PhD or Masters level education in health informatics or related field; A robust understanding of data visualization in health
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). The Faculty also offers a PhD program and in 2019 it introduced a Bachelor of Information (BI) program. MI Students can specialize in one or two concentrations including Archives and Records Management, Library
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
- University of Toronto Mississauga Course Number and Title: BTC1859H5Y – Date Science in Health I Course description: This course will introduce students to biostatistics and data science. Statistical and data
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material from the Editors, including data-entry of draft entries • Copyediting and proofreading Dictionary of Old English entries prepared by the Editors • Collecting feedback from the DOE International
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novel experimental, analytical, and computational tools to explore materials with extreme properties or under extreme conditions, particularly for metallic materials. The research themes include metals
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of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and elucidating structure-property
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, research areas include Operations Research, Information Engineering, Human Factors, and Applied Machine Learning, all of which seek to improve the systems we as humans rely on to navigate our world
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must have earned a PhD in earth or environmental sciences, or a closely related discipline by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and
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of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and elucidating structure-property