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of Surgery, Division of Experimental Surgery is seeking a Course Lecturer to teach the FALL 2024 semester; Statistics for Surgical Research. Course Title and Course Number: EXSU 606 - Statistics for Surgical
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 hours ago
), the Statistician/Biostatistician will apply their knowledge and skills in data analysis, statistics, data visualization, and interpretation to large datasets in order to support the PI across multiple projects. Key
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Date Posted: 05/16/2024 Req ID: 37346 Faculty/Division: Faculty of Arts & Science Department: Department of Statistical Sciences Campus: St. George (Downtown Toronto) Description: About us: The
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position Position Summary:- - Assist the instructor in delivering the interactive and dyadic teaching material (this will include statistical programing hands-on session) - Hold office hours to help students
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that has emphasized quantitative analysis skills (epidemiology, public or population health, statistics) with strong statistical methods expertise. Excellent research skills, including a strong understanding
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) Statistical Methods in Behavioral Sciences A Term and Course Dates: Term Two (January to April) CRN: 27019 Delivery Mode: This course will be offered as a lecture Course Schedule: Friday 9:30-12:20 PM Expected
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affairs issues in accordance with established policies and procedures of McGill University and the Division; · Compile statistics and data for inclusion in University and external reports; · Contribute
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reports from RAS to support admissions, pipeline management, application fee and deposit reconciliations as well as the student record matriculation process. Generates reports for statistical purposes
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annual reports of committees as needed. Compile statistics and data for inclusion in reports in close collaboration with the Associate Director, Analysis and Planning. Implement other projects as assigned
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, or related field. Strong qualitative and quantitative skills including socio-ecological research design, data analysis, statistical analysis and data management. An interest in interdisciplinary research