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Field
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teaching physical geography, geospatial tools and technologies, and/or human geography. Candidates must have a demonstrated record of teaching excellence and/or significant work experience related
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, or environmental change. Experience working on interdisciplinary teams and contributing to funded research proposals. Knowledge of relevant tools or platforms for machine learning, geospatial data, or high
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strong knowledge of server administration, distributed computing, and cloud platforms (AWS, Azure, Google Cloud); Familiarity with geospatial, UAV, and sensor-based agricultural data formats; Working
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42200: Advanced Machine Tech for Crop Production ASM 53000: Power and Machinery Management ABE 30600: (Proposed) Data Analysis and Geospatial Prescriptions ABE 32200: (Proposed) Design of Modern Ag
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economy, social ecological economics, and the relationships between economic systems and natural ecosystems. We encourage innovative approaches to teaching that foreground geospatial methodologies and
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infrastructure systems and their requirement actions to ensure JMU has the potential to receive adequate funding for capital and maintenance reserve projects •Coordinate with the Geospatial Engineering Services
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: Improvement of methods for processing and analysing geospatial data, development and application of remote sensing techniques, including satellite remote sensing for environmental research. Developing
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to monitor and model ecosystem and biodiversity change. Advanced skills in statistical programming and modeling. Geospatial data analysis. Familiarity with ecosystem models. - Development of an integrated
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forest inventory and geospatial data to improve techniques and knowledge in one of three priority areas: forest inventory and analysis, timber production and forest dynamics, or wildfire risk management
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Nutrition, Mathematics and Geospatial Sciences, and Physics. The School has internationally recognised strengths in quantum science technologies, advanced materials chemistry, catalysis, and water and