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for the materiality of the built environment in defined regions, based on MFA and supported by BIM, GIS, IoT and AI technologies. Map existing anthropogenic material stocks and their dynamics and simulate circularity
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University of California, Los Angeles | Los Angeles, California | United States | about 18 hours ago
, you will assist with coding and data analysis using Python, R, and other software tools as needed. Responsibilities include developing and troubleshooting scripts, supporting data processing workflows
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to mentor student assistants and provide regular constructive feedback toward identified program goals. Willingness to learn more about digital scholarship tools and applications, such as Python, R, GIS, and
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Conducts daily field and lab activities for a couple of research projects including planning, coordination and execution. Builds geospatial applications using GIS software for lab projects. Supervises
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, and interprets cancer surveillance, population, geographic, environmental, and health services catchment area data using appropriate data management, statistical, GIS, and other programming software
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Extension Support Specilaist I-SP- IRIS GIS Etension Support The Opportunity As a university founded to be a place where “…any person can find instruction in any study,” inclusion and belonging
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research environments are essential. Proficiency in ArcPro, Python and a solid grasp of planetary geological processes, especially those relevant to Mercury, will be key to your success in this role
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related to the: Design of damage indicators from BIM and GIS data of different nature (georadar, LiDAR etc.)/etc.) and further integration and spatial analysis, focused on damage quantification. Where
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data visualisation and mapping for research communication. • Proficiency with statistical and geospatial software (e.g., SPSS, R, Python for GIS). • At least 3 years of relevant work or research
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, project and program evaluation, and report writing. Data science and Geospatial Analysis skills, including coding (e.g., Python, R), inferential statistics (e.g., MATLAB, STATA), predictive modeling, GIS