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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 days ago
on the tumor microenvironment. Previous experience of state-of-the-art cell and tumor biology methodologies, tissue analysis with histopathological techniques, and work with genetically engineered mouse models
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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
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scanning (ALS, LiDAR) data an asset.•Demonstrated expertise with quantitative analysis. Ability to code in R or Python an asset.APPLICATION INSTRUCTIONSPlease send a CV and cover letter to Dr. Ché Elkin
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Council of Canada). The research will focus on applying, developing, and implementing novel statistical methods for causal inference, integrative data analysis, and machine learning with large
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, data collection, and statistical analysis. Assist in managing and maintaining research databases and methodological resources, ensuring accessibility for CTN+ investigators. Support the planning and
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Humanities Research Council of Canada)-funded research projects: “Explaining sound change through mapping the distribution of phonetic biases and automatic speech analysis” (PI: Morgan Sonderegger) and
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swine research, statistical data analysis, feed formulation with Brill software, and quantitative research techniques, as well as have excellent communication and writing skills. In addition
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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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data analysis, statistical analysis and data management - Proficiency in R and/or Python programming - An interest in interdisciplinary research spanning ecology, remote sensing, spatial analysis and
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, remote sensing, environmental sciences, data science, mathematics or a related field - Strong quantitative skills, including data analysis, statistical modeling and data management - Proficiency in R and