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Field
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to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging through health, retail, mobility, energy and communications. Using GI infections as a case study
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, accessibility, and compliance with institutional and regulatory standards. The ideal candidate will have expertise in CAD, Revit, and document control systems, along with a strong technical foundation in GIS
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analyses such as RNA‑seq library prep, single‑cell workflows, qPCR, Western blotting, ELISAs, and multiplex assays. Integrate multi-omics datasets using R or Python; collaborate with bioinformatics core
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infectious diseases such as gastrointestinal (GI) infections, respiratory infections and sore throats. Using GI infections as a case study, the project will compare trends in OTC medication sales to other
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environmental modeling, including groundwater mapping and evapotranspiration projection. Strong skills in GIS, spatial analysis, and programming languages such as Python, and MATLAB, Res2dinv/mod, Res3dinv/mod
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the community to share research findings with the public Qualifications Required Qualifications ● A master’s degree in geography, GIS, environmental science or a related discipline by the start date with one or
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) data analytics, wrangling, management, and synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing and GIS analytics, and (d) data-driven model development
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synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing and GIS analytics, and (d) data-driven model development. Demonstrated ability to meet deadlines and effectively
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education above and beyond what is required may be substituted on a year-for-year basis. Skills: Proficiency in Tableau and/or PowerBI Knowledge of Python or R Experience with Census data, shapefiles
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expertise in forest ecology, disturbance ecology, and landscape ecology, and methodological expertise in harmonizing distinct databases (e.g., forest inventory, remote sensing, land cover), GIS, and R-based