Sort by
Refine Your Search
-
Employer
-
Field
-
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
-
. Qualifications: A doctoral degree in epidemiology Knowledge of advanced epidemiologic methods Strong data manipulation and analytic skills using statistical programming software, e.g., SAS Demonstrated ability
-
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
-
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
-
) Relevance of the methods and analyses d) Feasibility (including resources available) e) Originality of the project towards the advancement of sport science research f) Potential for contribution to advancing
-
applicant will be working on applying single molecule fluorescence microscopy and super-resolution microscopy techniques to study: i) the interactions between plasmonic metal nanoparticles and fluorescent