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and development of the research methods, the data collection and analysis, and the interpretation of results. They will lead the analysis and interpretation of research data and the dissemination
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models, analysis and publishing of high impact peer-reviewed papers Leading creation of modeling and prioritization approaches for creating multifunctional agricultural landscapes and informing partner
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human brain tumor samples at different stages of progression and after exposure to therapies. The postdoctoral researcher will have opportunities to lead projects, devise data analysis strategies, and
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, implementation, analysis, and publishing of high impact peer-reviewed papers · Leading completion of ecological field work and data collection, including leading a small team of undergraduate students
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and resources, taking scientific ownership of one or more projects. Co-supervise graduate and undergraduate students and mentor junior trainees in experimental design, data acquisition, and analysis
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satisfactory performance. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology, agroecology, data science/data management) is required
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an interactive visual dashboards and exploratory data analysis tools that enable hypothesis generation and pattern interpretation across multi-omics and clinical data. Design and develop an AI-powered analytics
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the policy landscape and scaling perennial restoration in Canadian agricultural systems. Potential research themes include: Evaluation of partner and government incentive programs; Analysis of policy and
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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
and data analysis software preferred). Ability to exercise tact, discretion and confidentiality. Ability to contribute to a respectful, cooperative and supportive work environment. Ability to work both
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study analysis. Estimated course enrollment: 30 Estimated TA support: N/A Class schedule: Wednesday 5:00 p.m. – 7:00 p.m. * The delivery method for this course is currently in-person. Please note