11 phd-statistics "University of Leeds " research jobs at University of British Columbia
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, newsletters, government reports, etc). Analyze, interpret, and communicate literature review results and quality by performing tasks such as examining research methods and statistical tests performed in
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the computer software and applications on the Mac OSX operating system, including Microsoft Office, and internet applications and tools is required. Experience with SPSS or other statistical software packages is
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or related field. Track record of publication related to eating disorders/mental health. Strong skills in statistical analysis Fluent in written and spoken English and demonstrated excellence in writing
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. Requirements Applicants must have completed a PhD degree in a related engineering (or science) discipline within the last five years or are in near completion with a confirmed defense date. Applicants are also
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, through the creation of new diagnostic tools to help improve patient care. Develop key leadership skills, in a supportive environment, to further your career development. Qualifications A PhD in
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and summary statistics in a timely and accurate manner. Work effectively with site coordinators to ensure effective and efficient study conduct. Perform other research tasks and provide research support
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), webpage editing, and a statistics package (e.g. SPSS). Demonstrated knowledge of ethical considerations in clinical research including TCPS2. Demonstrated knowledge of mental health issues affecting
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to maintain accuracy and attention to detail. Ability to develop and work with large clinical or research databases, including data cleaning and data analysis using statistical software (e.g., SAS, R, SPSS
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the Principal Investigators, Research Director, the Quality Assurance Manager for Neurology, other study coordinators in Neurology & Neurosurgery, consultants in statistics, nurses, IT and clerical staff
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observation and experimental systems). Project personnel will use state of the art data science and statistical approaches in the context of emerging frameworks for detecting and attributing biodiversity change