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aim to develop an independent research programme at the intersection of Geospatial Artificial Intelligence, Remote Sensing, and Geospatial Data Science. The successful candidate will contribute
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Research Assistant Professorship in the Department of Geography. This position is ideal for researchers who aim to develop an independent research programme at the intersection of Geospatial Artificial
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https://sc.edu/study/colleges_schools/artsandsciences/geography . Required Education and Experience Master’s degree in Geography, GIScience, Geospatial Analytics, Geo-Informatics, or a related field by
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-surface processes, and coupled human-environment systems. We are particularly interested in candidates who combine field research with quantitative and geospatial approaches and who will develop
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 17 hours ago
Previous Job Job Title Assistant/Associate/Full Professor (Tenured/Tenure-Track), MizzouForward, Electrical Engineering and Computer Science, Center for Geospatial Intelligence Next Job Apply for
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Job Title Geospatial Analyst II Agency Texas A&M Forest Service Department Operations Technology & Intelligence Support Proposed Minimum Salary $6,037.50 monthly Job Location College Station, Texas
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Time Type: Part time FLSA Status: Non-Exempt Job Description: Summary: The Student Geospatial Assistant will primarily be responsible for digitizing and georeferencing historical maps and data for use in
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. Key Responsibilities : Management and updating of vertebrate fossil field locality metadata Geospatial data modeling and analysis to assess depositional and faunal trends Morphotype and sort mammalian
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databases. Demonstrated ability to implement quality control methods to check data for errors, inconsistencies and missing information/codes. Demonstrated experience with geospatial mapping tools
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, researchers, software developers, and external collaborators, the Research Engineer will help develop analytical platforms that support environmental monitoring, artificial intelligence applications, geospatial