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at University of British Columbia and BC Children’s Hospital. Working with the Baby BRAIN Lab and Dr. Selvanathan’s research team (https://www.bcchr.ca/baby-brain-lab), the successful applicant will lead new
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) and dynamic spread models for invasive forest and agricultural pests, integrating multi-source ecological data using machine learning and statistical approaches. Develop and validate phenological models
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applications from candidates with undergraduate or graduate teaching expertise in the area of statistics. Applicants are encouraged to review the research and teaching profiles of current faculty members. Please
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) modeling platforms, mass-spectrometry, next-generation sequencing, flow cytometry, imaging and computing infrastructure. More information on the Lange Laboratory can be found at https://langelab.med.ubc.ca
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units as necessary. Support reporting to the AREB and UACC by organizing and compiling monthly and annual statistics on AUPs. Other related tasks as assigned. Qualifications: Education: An undergraduate
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Atmospheric and Oceanic Sciences, Biology, Chemistry, Earth and Planetary Sciences, Geography, Mathematics and Statistics, Physics, Psychology, and the School of Computer Science, as well as interfaculty and
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vehicles, and trust in generative AI content. Expertise in computational/quantitative modeling and teaching in statistics at the undergraduate and/or graduate level is especially welcome. Applicants
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chemical biology in the domain of cancer biology Proficiency in statistical/computational analysis of chemical and functional screen data to be self-sufficient in interpretation Experience with tumor model
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
frameworks. Perform quantitative data analysis, including cleaning data, running descriptive and inferential statistics, and producing results tables and summaries. Prepare knowledge translation outputs