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skills (python, r, github, GIS, optimization) ● Demonstrated ability to facilitate and model thoughtful interactions in a team environment with other experts including, professional staff in other IonE
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, remote sensing, machine learning Technical proficiency with quantitative data analytics and workflows (e.g. R, Python, GIS, GitHub) Experience with machine learning, Google Earth Engine, remote sensing
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Texas communities become more resilient over the longer term. To learn more, visit https://idrt.tamug.edu What We Want We seek a highly skilled and collaborative Data Scientist to lead the development and
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Qualifications: Proficiency in programming and data analysis tools (e.g., SQL, Python, R, GIS platforms), experience with integration of human subject data (e.g., questionnaires, interviews, eye-tracking
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expertise in forest ecology, disturbance ecology, and landscape ecology, and methodological expertise in harmonizing distinct databases (e.g., forest inventory, remote sensing, land cover), GIS, and R-based
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limited to: Conducting statistical analysis of PFAS in groundwater data. Performing spatial data analysis using orbital or airborne images and GIS tools. Reviewing and compiling relevant literature
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administration, geospatial analysis (GIS and/or remote sensing), and processing of field data. Additionally, this position will play an active role in Outreach & Engagement activities that span our campus research
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also collect soil, water, and plant samples to support environmental research projects. · Data Analysis and Modeling: Employ GIS and image analysis software (e.g., ArcGIS/ENVI) software for remote
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. Experienced in machine learning and software development in research and production environments. Extensive Python experience, including knowledge of numpy, pandas, Tensorflow and/or Pytorch. Extensive
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undergraduate or graduate researchers. · Experience writing research grant applications. · Experience with software such as R, Python, Matlab, and GIS tools · Experience facilitating workshops