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Field
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degree or a good honours degree in Remote Sensing, Geomatics, GIS, Computer Science, Photogrammetry or a related field with three or more years of research / relevant work experience. Applicants
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”. Qualifications Applicants should: (a) have a PhD degree in Remote Sensing, Geomatics, GIS, Computer Science, Photogrammetry or a related field, and must have no more than five years of post-qualification
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tools: Tableau or PowerBI. Proficiency in at least one of the GIS tools: ArcGIS or QGIS. Advanced proficiency in at least one of the following programming languages: R or Python. Physical Requirements
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development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with state agencies, and other universities
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methods to economic and environmental problems; Knowledge of STATA, R, Python and/or other relevant programming skills for undertaking applied analysis (e.g. machine learning) and handling large
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, Japanese history (esp. early modern), historical geography, GIS, programming (esp. Python) and computer science, statistics and data science, text mining, natural language processing, demography, economics
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management practices, evapotranspiration tools, and on-farm water decision support system tools. Experience in data analysis and familiarity with a programming language such as R, Python, or MATLAB. Experience
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experience in the care and husbandry of snails or similar organisms in an aquaculture or laboratory setting. Strong data analysis skills (e.g., R, Python, GIS). Track record of scientific writing and
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, Hydraulics, or related fields. Proficiency and experience in hydrologic and hydraulic modeling tools such as HEC-HMS, HEC-RAS, SWMM, InfoWorks, LISFLOOD, and SFINCS. Proficiency in GIS software (e.g., ESRI
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and maintain Python and R codebase for transit routing and GIS operation automation. · Generate and write grant proposals with Dr. Liu on various topics. · Work with undergraduate and graduate students