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. The candidate will be primarily responsible for participant recruitment, schedules, data collection, data tracking, data entry, and data checking under the direct supervision of Dr. Teresa Liu-Ambrose and will
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equipped with telephone, computer and furniture will be provided. The position is in the School of Population and Public Health (SPPH), which is in the Faculty of Medicine at the University of British
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-initiated clinical trials. The candidate will be working with confidential information and adhering to strict study protocols. Positions in this classification perform routine clinical and laboratory tasks
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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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appointments, acquiring and entering data, and writing progress reports. Organizational Status Works under the direction of the Principal Investigator, Dr. Frances Chen. Interacts with graduate student
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the implementation, execution and evaluation of research and research related activities, including literature reviews, data analysis and drafting of manuscripts for peer review. Assists with routine tasks in data
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prescriptions (i.e., setting workloads), overseeing the exercise sessions, and following up with participants via telephone. Additional activities will include exercise training log data entry and supervising
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participants via telephone. Additional activities will include exercise training log data entry and supervising junior staff and volunteers. Other general, research activities will include recruiting
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completion and data reporting. This position works in conjunction with the College of Graduate Studies, Enrollment Services and the departments within FASS. Job Description Summary This position provides a
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research projects related to the health effects of wildfire smoke. The incumbent will be involved in a wide range of research activities spanning the research cycle, including ethics applications, data