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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 3 hours ago
participate in qualitative and quantitative data collection, data management, analysis, and mixed-methods integration. Work collaboratively with research assistants, trainees, community-based research personnel
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will help lead efforts to design and manage online surveys, data collection, analysis, and coordinate with partner organizations. The incumbent will be working with Montreal Mobility survey data
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, clinical, and scientific stakeholders. • Supervise research assistants and trainees involved in data collection, analysis, and related projects. • Develop and write manuscripts for peer-reviewed publications
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Analysi s Experience analysing high-dimensional biological datasets. Proficiency in R for statistical analysis, visualization, and reproducible data analysis. Experience with packages such as Seurat
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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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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