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python-based automations; and integrating GIS data with other software platforms and business processes. Working in close collaboration with interdisciplinary FBO managers and external partners, this role
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to agriculture, soil, water, environment, or engineering Experience with GIS, R, Python, Matlab, and similar advanced software platforms is desirable Experience with data organization, data management, and data
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to agriculture, soil, water, environment, or engineering Experience with GIS, R, Python, Matlab, and similar advanced software platforms is desirable Experience with data organization, data management, and data
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
, or Python. Experience with data visualization tools such as Microsoft Power BI, familiarity with relational databases and electronic health record–derived data, and proficiency in project management
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quantitative discipline or equivalent experience. · Experience applying statistical or machine learning methods in real-world contexts. · Proficiency in Python and/or R for data analysis and modelling. · Strong
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, GIS/GeoAI, UAV applications, and resilient infrastructure planning. The candidate with experience translating cutting-edge research (e.g., AI) into operational decision-support systems for agencies and
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sustainability, environmental systems, and spatial data Skills in the following areas: Data analysis and programming, e.g. Python, R GIS and spatial analysis Data visualisation Language Requirements: Applicants
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and erosion processes. Skills in GIS, spatial analysis of large scale data, modelling, remote sensing, and programming (R or Python) are desirable. You work independently, communicate effectively
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, GIS/GeoAI, UAV applications, and resilient infrastructure planning. The candidate with experience translating cutting-edge research (e.g., AI) into operational decision-support systems for agencies and
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projects-tracking misinformation, analyzing climate change data, and building machine learning models-before advancing into GIS (Geographic Information Systems), network analysis, and responsible technology