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Requisition Number: 2025 - 103 Business Unit: College of Medicine Department: Int Med GI 50001304 Reg-Temp: Full-Time Regular Position Summary: Position Announcement: Postdoctoral Research Fellow We are seeking
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within the past 3 years in Environmental Science, Geography, Computer Science, Atmospheric Sciences, or related field. Advanced GIS and geospatial computing expertise. Demonstrated commitment and ability
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support PI’s research and education activities to enhance environmental, soil, water quality, microclimate monitoring, Geographic Information System (GIS), and remote sensing research programs as part of
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following topics: in situ sensor installation and flood monitoring, GIS & geospatial big data, AI/ML and data science approaches for hydrologic predictions, risk analysis. Experience in working with big data
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knowledge of social surveys and GIS are considered advantageous. To apply, please submit your application at https://careers.purdue.edu and include the following materials: (1) letter of application that
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knowledge of social surveys and GIS are considered advantageous. To apply, please submit your application at https://careers.purdue.edu and include the following materials: (1) letter of application that
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quantitative methods, including R and GIS. • Knowledge of terrestrial ecosystems and disturbance regimes. Preferred Qualifications • Experience with process-based models. • Knowledge of shrub or chaparral
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familiarity with model coupling frameworks (e.g., ESMF). Proficiency in programming and data analysis (e.g., Python, Fortran) and handling large datasets, including GIS or remote sensing integration. Strong
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. Proficiency in statistical analysis (R, SAS, etc.) and GIS software (ArcMap). Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, and Outlook). SALARY: Approx. $4,791.67 Monthly (Approx. $57,500
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hydrologic connectivity metrics. Furthermore, the qualified candidate must possess advanced skills in geocoding, GIS, raster analysis/processing, and the management of large geospatial datasets. Familiarity