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or related discipline to develop their data analysis and modelling skills and experience, applied to the field of health economics. We wish to encourage people who have strong quantitative skills who may be
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working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences or related discipline to develop their data analysis and modelling
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making and machine learning, with real-world testing and feedback. The successful applicant will work on decision making for anomaly detection, behaviour analysis and surveillance decisions, under
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Job Summary To perform scientific research, specifically research activities relating to data acquisition and analysis, and to report results ready for publication and/or use for grant applications as
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to assess social cohesion patterns. Administrative responsibilities include supporting strategic events and meetings, managing relevant databases, and providing key insights to aid decision-making and
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conduct analysis and translate findings for inclusion in publications through multiple channels and for supporting internal and external stakeholder decisions and actions. Required Knowledge, Skills and
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duties as required in keeping with the qualifications and requirements of positions in this classification Consequence of Error/Judgement Errors and incorrect decisions made in this position could
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 14 days ago
for administering funding and awards and providing administrative support for graduate and postdoctoral studentsat UTM. The Specialist supports planning and data analysis for new and existing graduate programs and
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for decisions in diabetes (REDDIE) project, as well as projects with focus on the analysis of CGM and physical activity data. There are also opportunities to contribute to a diverse range of ongoing
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analysis of data, including functional brain imaging results, cognitive psychology and symptom ratings on patient and healthy populations to better understand the symptoms of psychosis. The data collection