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graduate level: 1) Introduction to GIS; 2) Advanced GIS; 3) Remote Sensing; and 4) Python Programming for GIS. Depending on the needs of SES and the candidate’s areas of interest and/or expertise, other
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/C++, FORTRAN and/or Python. Experience working with geo-spatial information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software
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involving PowerShell- and Python-based tools. Maintains flight equipment (UAVs, sensors, batteries) including logging, and routine operational checks. FLSA Nonexempt Salary Details $17 - $22/hourly Offer
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have until 30.06.2026 to complete the final exam. Desired / Beneficial qualifications: Valid driver’s license. Programming and numerical analysis skills (e.g., Python, MATLAB) and/or experience with
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California State University, San Bernardino | San Bernardino, California | United States | 3 months ago
Community website. This role combines advanced technical specialization, expert technical writing, and GIS data strategy to directly support the community's global initiatives, ensuring the platform's
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, tracking, spatio-temporal modeling, edge learning) using field data (traffic cameras, micromobility telemetry, connected vehicle/V2X, crash records, GIS). · Manage and coordinate pilot deployments
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: You will teach courses in the BSc and MSc programmes in geography and will also offer courses for other programmes in the faculty that require GIS skills (e.g. MSc Oceans & Lakes, MSc Biology, MSc Urban
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Postdoctoral Research Associate in Health Economics Department of Finance Gies College of Business Postdoctoral Research Associate Health Care Research Initiative Seeking a full-time postdoctoral
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of dendrochronology techniques, from the research plan, field work and laboratory, and interpretation and publication. He/she should be comfortable with the R and/or Python languages. Experience in handling large
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and monitoring of environmental parameters; participation in processing and analysis of collected data, including the use of programming languages (Python and/or C++), GIS methods, and machine learning