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statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
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. Our team also supports the Geospatial, Epidemiology and Outcomes (GEO) shared resource of the MCW Cancer Center (http://www.mcw.edu/geo ). Characteristics of a postdoctoral appointment: It is expected
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and greenhouse gas emissions associated with cold storage of tubers. About You You will be educated to doctoral level in remote sensing, agricultural engineering, geospatial science, bioinformatics
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Skills: Strong analytical skills and demonstrated experience with statistical programing in R. Experience using geospatial data for landscape-scale research. Experience with Species Distribution Modelling
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will be educated to doctoral level in remote sensing, agricultural engineering, geospatial science, bioinformatics (or similar relevant subject) and have research experience in plant science. With
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, geospatial data), clean and manipulate them into analysis read versions. - Identify new and emerging data science techniques that will enhance project design and analytical rigour. - Planning, conducting and
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statistical and geospatial software (R, ArcGIS, QGIS) and atmospheric dispersion modeling (AERMOD, WindTrax, CALPUFF) is strongly preferred. Ability to multi-task and work cooperatively with others. Why Work
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: • Experience with geochemical speciation methods, particularly synchrotron X-ray spectroscopy • Knowledge of data management • Experience with statistical analysis of data and geospatial analysis tools (e.g
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Supervising graduate research assistants and student interns. Required Qualifications: Terminal degree in a related field; Knowledge of and experience in geospatial information systems, crop modeling
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago
the combination of socioeconomic data and geospatial information. Experience with the calibration and deployment of low-cost sensors is preferred. Occasional travel may be necessary. Field of Science: Earth