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Field
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biological data come in many shapes and formats, from field surveys and laboratory measurements to geospatial datasets and long-term monitoring series. Success in this role means being able to adapt
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). Experience handling diverse data types (tabular, time-series, geospatial, text). Strong mentoring skills and interest in education. Desirable Qualifications: Experience with project-based learning or working
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for Spatial Studies). This hub should act as a central geospatial competence center to provide targeted support for research projects to bring spatial thinking, (novel) spatial analysis, and spatial
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Program within SIS serves around 200 majors and 90 minors. Students value our core strengths across the discipline in physical, human, and nature-society geography along with geospatial technologies. Our
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risk assessment, AI/ML frameworks, multi-modal data integration, geospatial data processing, or high-performance computing environments. Strong programming skills and a record of scholarly publications
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modern ML toolkits and libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, Jupyter). Experience handling diverse data types (tabular, time-series, geospatial, text). Strong mentoring skills and
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aims at establishing a Geo-Help-Desk (GHD) as part of a broader GeoCommunication Hub initiative (similar to other international Centers for Spatial Studies). This hub should act as a central geospatial
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partnerships that incorporate GIS. Maintain software and hardware necessary for courses in the GIS curriculum, including cartography, remote sensing, drone mapping, and advanced geospatial analytics. Actively
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will I be doing? Under the guidance of a mentor, you will gain knowledge in various applications of AI techniques to geospatial problems at the basic research level, including image analysis, synthesis
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-driven inquiry using large-scale datasets (social, geospatial, behavioral) and integrate empirical insights with theoretical models. Mentor students in producing publishable research, prototypes, and