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Field
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to offer. Qualifications: Required: PhD in ecology by start date Experience in plant phenology, biogeography, and spatial and temporal modeling (Bayesian and frequentist) Expertise in R or Python, GIS, big
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technologies and methodologies, and Geographic Information Systems software (e.g., ArcGIS, QGIS), Python, and Matlab is required. Knowledge of other programming languages (e.g., C, C++, R, Javascript) is
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programming language such as Python, C, or C++. (Required) Demonstrated proficiency with Microsoft Windows software including Word, Excel, MS Access or SQL Server Management Studio. (Required) Demonstrated
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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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) 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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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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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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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