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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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the activities of the institution. Any procedures or data recorded must be accurate and must accurately reflect the work performed. Strict confidentiality of all study participants must be adhered to. All
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implements/oversees data collection protocols. Provides direction, training, mentoring, and support to the ACMaN junior staff. Provides substantial and direct intellectual contributions at various stages
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at the University of Saskatchewan in Saskatoon, Saskatchewan, and you will report to Dr. Allyson Stevenson. Education: This position is intended for a Graduate (either MA or PhD) student in the College of Arts and
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(external link) . About the Urban Analytics Institute The Urban Analytics Institute assists partners with research and in implementing smart technologies, including big data analytics, deep learning, and
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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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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