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datasets, and synthesize results for publication and reporting. Proficiency in programming languages and software commonly used in research, such as Python, MATLAB, R, or GIS tools. Excellent written and
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desirable. Desirable Skills and Assets Familiarity with Moroccan or North African urban contexts. GIS or mapping skills are a plus. Experience in community-engaged research or heritage activism. Ability
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record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in programming languages/software such as MATLAB, Python, R, Stata, as well as GIS
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diseases. The successful applicant will join a number of fascinating projects on engineering novel approaches to modulate physiology and neural activity in the brain, gastrointestinal (GI) tract, and other
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. Required Qualifications A PhD or doctorate is required GIS, and experience in statistical modeling using SAS or R Location Hybrid/Flexible Work Arrangement – Philadelphia, PA Additional Information
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The successful candidate has a PhD degree in (Historical) Demography or a related discipline (sociology, geography, economics). Expertise with register data, statistical methods of analysis, and GIS are required
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health, AI and GIS, food and nutritional security, and occupational health and safety. EGH programs offer a Master of Health Science and doctoral degrees in Environmental Health and One Health. The College
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develop innovative solutions based on the analysis of urban data (big data, IoT, GIS) to monitor and improve public health. You will contribute to modeling smart cities with a focus on health and designing
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-situ instruments, Land-Management, Soil & GIS databases that can be processed and integrated into more complex multi-scale land-cover and land-use models. A core output from the overall project will be
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Hydrology, Water Resources Management, Environmental Sciences, or a related field. Experience with hydrological models (SWAT, MODFLOW). Skills in surface and groundwater management. Proficiency in GIS tools