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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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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | 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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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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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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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
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
and hybrid BGC simulations against satellite and in situ observations using standard evaluation metrics. Complete AI-enabled geophysical data analysis. Develop algorithms, Virtual Ocean Lab (VOL
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Lunenfeld-Tanenbaum Research Institute | Central Toronto Roselawn, Ontario | Canada | about 23 hours ago
methodologies across both areas of interest may include, but are not limited to: hypothesis-driven mechanistic studies; the generation and analysis of large-scale multi-omic datasets (including single-cell
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troubleshooting. · Lead genomic analysis and integration of multi-omics data including microbiome and cell stress phenotypes. · Lead collaboration with spatial transcriptomics and functional genomics
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analysis and integration of multi-omics data including microbiome and cell stress phenotypes. · Lead collaboration with spatial transcriptomics and functional genomics team (external). Assist with