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Field
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for a risk communication scholar. In addition to this advertised hire, the cohort will include a geospatial analyst, an environmental engineer, a socioecologist, and a landscape architect within the
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. Additional duties may be assigned Knowledge, skills & abilities: Knowledge of relevant tools or platforms for machine learning, geospatial data, or high-performance computing. Strong written and verbal
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environmental planning, or land development economics, and statutory planning. Proficiency in Geographic Information Systems (GIS), including spatial data analysis, mapping, and geospatial visualisation
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requires an academic degree in the discipline (Geography, Geospatial Technologies, Planning, Ecology, Environmental Studies, or Sustainability). Candidates for Lecturer position will have at least 18
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skills in working with databases and SDE/SDF connections used in geospatial environments. Experience in working with space management or asset tracking applications and integrations is an asset. Experience
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and water dynamics, and plant breeding Working knowledge of crop-climate modeling e.g., DSSAT Advanced remote sensing and geospatial data analytical capabilities Experience implementing, training and
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learning development environments e.g., PyTorch, TensorFlow. · Knowledge of Geospatial applications of Machine Learning. · Familiarity with current software development best practices, e.g
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-based analysis, geospatial analysis, predictive analysis, data visualization, data cleaning, and data communication for a wide range of audiences. Modes of Work Positions that are eligible for hybrid
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anonymized data sets through the assignment of unique identifiers Standardizes data formats and ensures data accuracy and consistency. Manages geospatial data, including Shapefile editing and geocoding Creates
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cloud platforms (AWS, GCP, Azure) and containerization tools like Docker. Exposure to GIS, remote sensing, or wildfire monitoring datasets. Familiarity with geospatial data formats (GeoJSON, KML