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Research Assistant contributes to Dr. Prisman’s research lab in head and neck reconstruction technology by researching and developing machine learning modules and other software tools to improve
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: Sound knowledge of how to customize LLMs (For example: model selection, pre-training, fine-tuning, RAG) Strong knowledge of prompt engineering; Strong knowledge of programming software for customizing
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also ranked as the world's best student city (https://www.topuniversities.com/student-info/university-news/montreal-named-worlds-best-student-city ). Qualifications: · PhD in a health-related
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automated platforms, including advanced robotics, specialized chemical instruments, and software with the use of Python • Overseeing and participating in research projects and platform development
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activities such as surveys, interviews, and focus groups; assisting with qualitative and quantitative data analysis using appropriate software (e.g., NVivo, SPSS, or similar); managing references using
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one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion Preferred Qualifications Advanced degree (PhD or near completion) in economics, sociology, psychology, geography
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PhD or a completed MSc is an asset. Excellent verbal and written communication skills in French are essential. Ability to communicate effectively in English is an asset. All tools and communications
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the collection and input of data into REDCap and other relevant software. Prepares samples for shipment to collaborating labs. Assists the study research coordinator in maintaining and creating the study database
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Microsoft Copilot is required Experience with qualitative data coding, including using applicable data analysis software (e.g. NVivo) is strongly preferred Relevant scholarly interest in strategic planning
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deadlines Computer skills: Word, Excel, power point, data software etc. Expectations for all UBC employees: - Willingness to respect diverse perspectives, including perspectives in conflict with one’s own