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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 17 days ago
to practical lab sessions, where students will gain experience using GIS to map and study health information. Topics will include: spatial databases for population health, mapping health data, analyzing
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support of Indigenous Community-led Atlas (ICA) projects, helping to integrate spatial data, automate mapping workflows, and support custom GIS tool development, while contributing to a modern, ethical, and
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heating, cooling, ventilation, daylighting, acoustics, and energy use. Students will explore how these systems shape spatial and economic design decisions and learn basic methods for analyzing environmental
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responses and data analysis of the survey results. Consequence of Error/Judgement The work of this position will be monitored by Dr. Qian Chen and Dr. Muhammad Fawad (Postdoc Fellow) in this project. Errors
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Comfortable using programs such as MS Word, Excel or additional survey tools for research management (Qualtrics, Google forms, etc.) Familiarity with management of spatial data (QGIS, etc.) is an asset
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using tools like EddyPro and custom scripts. Develop and implement automated QA/QC workflows for environmental datasets. Conduct spatial and statistical analysis leveraging eddy covariance and remote
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Unit Manager; 5) 6)participate in the development of spatialized components to map distribution of species and allocated reconstructed catches; and 6) participate in the allocation of reconstructed
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(> 10 markers), Western Blot, ELISA, WES, digital droplet PCR (ddPCR) Designing, performing and analyzing spatial transcriptomics experiments Writing manuscripts (at least three first-authored papers
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of students to run exercises and revise their draft proposals. Requirements: doctoral student in urban planning, policy and design or allied fields; familiarity with quantitative, qualitative, spatial, applied
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methods including reserve reporting and Mine planning. Stochastic spatial sequential simulation methods. Joint simulation of multiple correlated elements. Simulation material types. Introduction