46 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" research jobs at University of British Columbia
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of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex
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(ChemStation, Mnova, Trilution). • Python coding experience. • Ability to use UBC library information systems and other online resources for research purposes. • Ability to use hand and power tools.
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the B.C. Human Rights Code, including, sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First
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bibliographies, scanning and photocopying of documents, formatting PowerPoint presentations, scheduling within lab and multi-site conference calls and meetings with collaborators on research projects. Code and
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lab protocol for fMRI data analysis using FSL Makes minor modifications to program script templates and source codes when using magnetoencephalography Literature review on topics related to research
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Human Rights Code. Its purpose is to increase the representation of Indigenous, Black and other racialized persons in the Canadian publishing industry and to advance equity, diversity, and inclusion in
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with and without psychosis, but may also involve recruiting. The use of SPSS, Excel and Internet applications to organize code and enter data such as psychiatric interviews, cognitive tasks, intelligence
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with and without psychosis, but may also involve recruiting. The use of SPSS, Excel and Internet applications to organize code and enter data such as psychiatric interviews, cognitive tasks, intelligence
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interview results by performing and presenting qualitative data analysis (e.g., identifying common themes, coding themes, etc.). Assisting in the preparation of materials (e.g., points of interest in
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Develop new statistical models to jointly analyze multi-species data from a broad range of data sources. Develop reproducible code (and potentially an R package) to apply this method to the data. Analyze