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research and spatial data analysis, the use of computational, statistical, and data scientific approaches for interdisciplinary research, and data integration involving both spatial and non-spatial data
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information that supports regulatory, conservation, land management, and research decisions. Spatial modeling, GIS analysis, and biodiversity data management are central to MNFI's work and its partnerships
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Position Summary The Lark Lab at Michigan State University seeks a postdoctoral researcher with expertise in satellite remote sensing and spatial analysis to study agricultural land management in the
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a related field Desired Qualifications Interest and expertise in analyzing biophysical and socioeconomic datasets which include spatial (e.g., land use/cover, weather/climate, soils) and tabular
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secondary data of many kinds, but especially in a GIS environment. We are seeking an individual with GIS experience to assist in basic data collection and analysis tasks. Must have taken at least 1 GIS
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secondary data of many kinds, but especially in a GIS environment. We are seeking an individual with GIS experience to assist in basic data collection and analysis tasks. Must have taken at least 1 GIS
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, recharge, and subsurface flow in intensively managed fields. This position emphasizes the use of noninvasive geophysical methods to characterize spatial and temporal variability in soil moisture
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implement geospatial models, across multiple scales, that integrate the analysis of remote sensing data, vegetation data, climate data, soil-sensor data, and other relevant spatial datasets to conduct
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Position Summary The Michigan State University-Hurley Children’s Hospital Pediatric Public Health Initiative ( https://msuhurleypphi.org/ ) in the C.S. Mott Department of Public Health at Michigan
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Omics Method Development – wet lab expertise in microfluidics, sample preparation, molecular barcoding, and advanced techniques for single-cell and spatial multi-omics analysis Biomaterials and