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methodological rigor across the facility. Evaluate new imaging technologies, software tools, and analysis pipelines, providing recommendations for facility upgrades or procedural improvements. 2. User
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, unsupported sensitive inferences, and stability, ensuring responsible data usage in collaboration with governance bodies. ● Collaborate with software engineers on data preprocessing pipelines and
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knowledge of ecological (especially landscape ecology) research methodology and biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R
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systems Working knowledge of ecological (especially landscape ecology) research methodology and advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such
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) research methodology and advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling
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mental health and cancer care, and the fellow will join a team composed of data scientists, software engineers, and medical trainees. This position is anticipated to be partly funded through a Mitacs