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preferred. Experience in custom coding, advanced statistical modeling, GIS will be preferred. Outstanding candidates with expertise in related areas will also be considered. Primary Responsibilities
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to offer. Qualifications: Required: PhD in ecology by start date Experience in plant phenology, biogeography, and spatial and temporal modeling (Bayesian and frequentist) Expertise in R or Python, GIS, big
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graduate education in the Department of Geography focuses on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b
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on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b) Human geography: political-ethnic, cultural, human-environment
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inferences from observational datasets ● Familiarity with urban ecology, aquatic plant ecology or watershed biogeochemical processes ● Proficiency with GIS About the Department Ecology, Evolution, and
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GIS software and Python, strong written and interpersonal communication skills, and a demonstrated interest in addressing social justice issues through data-driven research. The postdoc will work in
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Preferred Qualifications Previous research experience in soil sample analysis (e.g. hydraulic conductivity, porosity, bulk density) Experience with GIS programs, including ArcGIS Understanding of global and
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of GI diseases to continue our work in functionally characterizing the impact of immune cells including ILCs in IBD. Our research program provides a highly collaborative and supportive training
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proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team
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), recognition on Stanford University's World’s Top 2% Scientists list (2022–present), the IADR William J. Gies Award (2023), election as a Fellow of the American Institute for Medical and Biological Engineering