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Field
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analysis skills using Python, R, SQL, or similar technologies. Familiarity with GIS platforms for spatial analysis of energy infrastructure and load data is also essential. The candidate is able to manage
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(e.g. R, Python, GIS, Modflow, GitHub) Experience with experimental design and complex data analysis Demonstrating ability to work independently Experience conducting research across multiple disciplines
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. At least 2 years of relevant hands-on experience in embedded systems, electronics prototyping, robotics, IoT systems, or sensor-based hardware development. Programming experience in Python, C, C
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monitoring. Strong technical capability in GIS, spatial modelling, and programming (e.g. Python, R). Experience contributing to interdisciplinary research and collaborative projects. Excellent communication
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
imagery, GIS data, and field samples to evaluate spatial and temporal patterns of snow and soil conditions in winter periods at a range of scales. Will support the development of new grants and project
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proficiency with one or more energy modeling platforms, such as PLEXOS, Aurora, or comparable production cost and capacity expansion tools, and have strong quantitative data analysis skills using Python, R, SQL
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, or regional-scale resource-flow data. Expertise with LCA/MFA tools, databases, or methods; experience with software such as SimaPro, openLCA, Brightway, Python, R, GIS platforms, or related analytical tools is
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logging into their existing Workday employee account. Position Summary: Florida Atlantic University is seeking a GIS & Spatial Data Specialist - Boca Raton, FL. The GIS & Spatial Data Specialist reports
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, including prompt engineering, function/tool calling, agentic pipelines • Strong Python programming skills; experience with web frameworks and API development (e.g., FastAPI, Flask) and/or frontend
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research team to scale building-level material quantities, embodied carbon and reuse potentials to the neighbourhood, city and national level, knowledge of python coding here would be beneficial. Visualising