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execution of Methods Think Tank sessions and working groups, including structured discussions on novel trial designs and implementation science approaches Qualifications: PhD in a health-related discipline
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 22 hours ago
fluorescence data. Developing machine learning methods to optimize data collection. In addition, the project is committed to developing open source tools that benefit the imaging community. The applicant will
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administrative heath and economic data. In addition to new methods development and evaluations, the job responsibilities include software development (mostly in R), possibly theory development, simulation studies
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 1 day ago
of cancer. Previous experience of conducting and analyzing experiments utilizing single cell RNA-seq, spatial transcriptomics, and highly multiplexed immunostaining. The necessary formal education to conduct
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. 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
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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
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. Collaboration with other PhD students, postdocs, and senior researchers from the involved universities will allow us to integrate mathematical and physical models of the data to address the larger project goals
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on methods used in savanna and dryland systems - Collaborate with an international, interdisciplinary team of researchers, including PhDs, postdocs and senior scientists, to address broader project goals
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a background in qualitative research methods and program evaluation, with a strong commitment to applied research that influences policy, practice, and health. As well, a demonstrated background in
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Minimum Qualifications - PhD in ecology, remote sensing, environmental sciences, or a related field - Strong quantitative skills, including ecological data analysis, statistical analysis and data management