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Field
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lab members of various backgrounds (B.S. to postdoc) and help in experimental design and in guiding selection of analytical methods. Knowledge of R with experience in ArcGIS or other GIS platforms being
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and optimizing the SNI by integrating clinical, economic, and social vulnerability data within a Geographic Information System (GIS)framework. This will involve conducting rigorous quantitative and
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following software programs (e.g., R, Stata, Python, GIS); Have strong organizational and communication skills. Preferred Qualifications Experience with survey design and impact evaluations in emerging
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at the time of application is accepted, but Ph.D. is required by the start date. • Candidate must have experience using GIS and remote sensing software and satellite data products in analyzing glacial lakes
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information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software tools and products. Experience in writing scientific papers and successful
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to participate in fieldwork. Experience with a range of statistical methods and spatial analysis tools including GIS or a related software (such as Q-GIS). Preferred Qualifications Experience driving small boats
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governmental GIS expertise also available. The Postdoctoral Fellow is a full-time temporary position and the candidate can begin as early as October 2024. The Fellowship will last one year, with the strong
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
/medicine/gi/education/basic-science-track/ Minimum Education and Experience Requirements PhD, MD, MD/PhD or DVM or equivalent degree in related fields. Required Qualifications, Competencies, and Experience
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: Preferences: Methodological expertise with multilevel, longitudinal data analysis, and GIS mapping. The research project will address issues related to confounding and effect modification. Additional
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, and classical archaeology (especially color studies, iconography, funerary archaeology and GIS) and whose project would benefit from use of both the CHS and IHR libraries as well as access to material