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The McDonald Institute for Archaeological Research invites applications for a fixed-term Research Assistant in technical GIS, Remote Sensing, and data processing, generously supported by Arcadia
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The McDonald Institute for Archaeological Research invites applications for a fixed-term Research Assistant/Associate in technical GIS, Remote Sensing, and data processing, generously supported by
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positions that will support ongoing work on peatland forests biodiversity and restoration. The primary tasks include processing GIS and remote sensing data, such as satellite and drone imagery and LiDAR data
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 21 days ago
or Geoinformatics, or related areas. Candidates will be assessed according to the project team’s needs regarding geospatial data and remote sensing for analysis, interpretation, and application in environmental
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teach four courses at both the upper-division undergraduate and graduate level: 1) Introduction to GIS; 2) Advanced GIS; 3) Remote Sensing; and 4) Python Programming for GIS. Depending on the needs of SES
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at the policy–academic interface. This position is ideal for an early- or mid-career researcher with experience in GIS or remote sensing who seeks to apply and expand their expertise in a fast-paced
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integration of multi-source datasets; Familiarity with GIS, spatial data management, and basic remote sensing workflows; Experience in writing scientific papers and working within multidisciplinary research
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statistical models to simulate climate–hydrology–environment linkages. Utilize GIS, remote sensing, and data-driven approaches to quantify climate vulnerabilities and adaptation opportunities. Collaborate with
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communication skills. • Track record of conducting original research and publishing in peer-reviewed scientific journals. Preferred Qualifications • Experience in remote sensing or machine learning applications
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teach four courses at both the upper-division undergraduate and graduate level: 1) Introduction to GIS; 2) Advanced GIS; 3) Remote Sensing; and 4) Python Programming for GIS. Depending on the needs of SES