7 finite-element-methods Postdoctoral research jobs at University of British Columbia
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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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or expertise in detectors, especially silicon detectors and liquid noble gas detectors, and electronics Good interpersonal and communication skills, and the ability to work as an effective team member Ability
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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