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interest in remote sensing, global ecology, geospatial software, field work, and drone technology. At a minimum, the successful applicant will be expected to contribute to coordinating field equipment
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holiday pay. MINIMUM QUALIFICATIONS : Masters Degree in Engineering, Physics, Computer Science or closely related field to remote sensing or GIS by start date. Minimum of 10 years of experience in
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with sampling vegetation and plant identification. Experience with remote sensing Knowledge, Skills, and Abilities Expertise in plant ecology. Knowledge of Midwestern flora (including wetlands and
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spatial modelling and statistical software such as R, Python, or MATLAB. Experience using GIS, side-scan sonar, multibeam bathymetry, underwater imagery, remote sensing, and other marine habitat
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results and prepares written reports acceptable to the Principal Investigator and funding agencies Other duties as assigned Unit URL https://www.uidaho.edu/idaho-ag-experiment-station/centers/kimberly
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, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the
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modelling and statistical software such as R, Python, or MATLAB. Experience using GIS, side-scan sonar, multibeam bathymetry, underwater imagery, remote sensing, and other marine habitat mapping
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modelling and statistical software such as R, Python, or MATLAB. Experience using GIS, side-scan sonar, multibeam bathymetry, underwater imagery, remote sensing, and other marine habitat mapping
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modelling and statistical software such as R, Python, or MATLAB. Experience using GIS, side-scan sonar, multibeam bathymetry, underwater imagery, remote sensing, and other marine habitat mapping
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 13 days ago
, excluding temporary B.Sc. and M.Sc. students. The PhD project is embedded in the interdisciplinary AWI glaciology section covering ice core analysis, remote sensing, modelling, and geophysical