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, analyzing, and visualizing data using statistical, geospatial, text analysis, and qualitative tools relevant to business, humanities, and social science research. Collaborate with faculty to integrate library
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Internal Number: 4337 Job Description: Teach undergraduate and graduate courses in geography and environmental studies, including GEOG 2650 Digital Earth: Introduction to Geospatial Technologies, GEOG 3020
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subsidized housing at Kent Vale. Qualifications Successful candidates should be actively engaged in landscape architectural research and design, including but not limited to geospatial analysis, landscape
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in ecological modeling, entomology, and geospatial analysis to graduate students and post-doctoral fellows. More broadly, the position will provide advice to other research groups within the Dept
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engineering, computer science, data science, geospatial statistics, or related discipline. Required Knowledge, Skills and Abilities: Familiarity with remotely sensed geospatial data products (UAS and satellite
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related field. Strong track record in remote-sensing imagery and/or time-series analysis and ML/DL for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools
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Health Sciences, Keck School of Medicine is in search of a Research Associate. This position requires a doctoral degree in population health related field(s). Knowledge of geospatial methodologic
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maintain a centralized platform for the Pan-Amazon Evidence and Action Hub that hosts diverse and harmonized sustainability-related datasets, including environmental, socioeconomic, cultural, and geospatial
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and develop predictive models of tissue architecture and cell community dynamics using tools inspired by ecology and geospatial science. Spatial omics technologies are revolutionising our ability
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of qualitative and quantitative data at multiple scales, and the manipulation and processing of geospatial data are expected. We are seeking highly qualified candidates with the following skills and experience