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Field
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., Python, R, MATLAB, SQL, or C++), large-scale environmental datasets, automated data processing and QA/QC procedures, and operation of environmental monitoring instrumentation and data acquisition systems
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cycling, soil carbon, biomethane, fertilizer use, and feed and food production; and evaluate economic and wider socio-economic benefits, drawbacks and trade-offs. The project combines GIS and
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integrating GIS data, IoT sensor measurements, and domain-specific information. AI models will be developed to predict dynamic behaviors and key risk zones, and these models will be embedded into the digital
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in R, Python, or another relevant programming language. Ability to handle, analyze, and interpret spatial data. Strong analytical skills and excellent written and oral communication abilities. Track
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Python environment of spectral libraries, chemometric procedures for processing drone-acquired hyperspectral data, and classification and model-selection algorithms aimed at identifying asbestos
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estimations of supply chains and production processes of minerals; programming languages (i.e. Python, MATLAB, R), software control (i.e. GitHub) and GIS-type software. Collaboration and communication with
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framework, including the development and management of GIS layers and mapping products. Identify and evaluate soil functions, ecosystem services and threats relevant to cotton systems, and develop
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field and laboratory instruments. Technical and knowledge requirements are advanced computing skills (e.g., Excel, R, Python, GIS), knowledge field and laboratory procedures, and knowledge of Saskatchewan
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security practices. Criminal justice and public policy research concepts Skills : Advanced proficiency in statistical software such as R, SAS, Stata, SPSS, Python, or equivalent analytical tools. Data
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The Data and Geospatial Analyst serves as the Center for Crime, Urban Research & Education's (C-CURE) lead in police and criminal justice data analysis, Geographic Information Systems (GIS), spatial