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Summary This position will provide technical support to data management plan development, data management, and assist Post-Doctoral Fellows with the development of machine learning methods. Organizational
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clinical data with statistical methods (e.g., R, SPSS) Experience in neurophysiological techniques (e.g., transcutaneous magnetic stimulation, near infrared spectroscopy, evoked potentials, electromyography
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, analyzing and interpreting common stroke and/or TBI rehabilitation assessments and treatments Experience in analyzing clinical data with statistical methods (e.g., R, SPSS) Experience in neurophysiological
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assessments and treatments Experience in analyzing clinical data with statistical methods (e.g., R, SPSS) Experience in neurophysiological techniques (e.g., transcutaneous magnetic stimulation, near infrared
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Council of Canada). The research will focus on applying, developing, and implementing novel statistical methods for causal inference, integrative data analysis, and machine learning with large
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allows for translation of novel methods to our cancer clinics in Canada (Vancouver, Victoria, and Kelowna) and beyond. Requirements: The ideal candidate will have a PhD in computational modeling/oncology
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people of the United States of America. Available to graduate students, faculty, professionals and independent researchers, successful applicants conduct research, lecture, or enroll in formal academic
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dedicated to building an inclusive community of scholars with an array of experiences, perspectives, and methods and welcomes a diverse pool of applicants. Terms Each year, five or six Academy Scholars