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by logging into their existing Workday employee account. Position Summary: Florida Atlantic University is seeking a GIS & Spatial Data Specialist - Boca Raton, FL. The GIS & Spatial Data Specialist
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, Python, Julia, etc. Demonstrated experience working with spatial epidemiological, ecological, or environmental data, including hands-on use of GIS, spatial statistics, or other spatially relevant methods
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, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
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protocols such as TCP/IP. Familiarity with interpreted scripting languages such as Python or Bash. Knowledge of database concepts and/or familiarity with SQL. Exposure to geospatial analysis and GIS concepts
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/GIS, education, or a related field. A strong GPA is important, but not the only requirement. Most of the research will be focused on technology-enabled solutions to aviation problems, therefore, skills
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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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or analytical tasks Proficiency in at least one programming or analytical tool such as Python, R, MATLAB, or SQL Ability to create clear and accurate data visualizations using tools such as Python (Matplotlib
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prior to employment. Desired Qualifications Desired Qualifications Experience in crop models such as DSSAT and APSIM. Expertise in UAV operations. Familiarity with GIS (ArcGIS/QGIS), geospatial libraries
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Our main research themes are: Life and its Interactions with Dynamic Environments, and Global Landscapes & Climate Change. PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max 80,000 words MSc (Research): 1-2 years full-time; 2-3 years part-time; MPhil: 2-3 years full-time; 3-4 years...
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data collection using the SigCap Application. Data processing and analysis in Python. Assess how environmental conditions and context (weather, indoor/outdoor settings) influence reception quality