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, experience working with large-scale geospatial datasets and high-performance or cloud computing, and demonstrated expertise in advanced machine learning. Experience leading research projects, managing budgets
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must have earned a Ph.D. in wildlife science, landscape ecology, geospatial science, waterfowl ecology, or a closely related field. Preferred qualifications include experience with: GPS telemetry and
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data (e.g. instrumental, laboratory, environmental, numerical and categorical data, text, geospatial data or time series); c) Experience in Python programming and in data analysis and machine learning
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knowledge/experience in geospatial data processing (e.g. ArcGIS or similar open source) / database skills and programming/scripting capacity (e.g. R, Python) • Experience in developing Dashboards and
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of the position is to monitor the conditions of crop, pasture, and their growth environment to support agricultural decision making with advanced remote sensing and geospatial technologies. Responsibilities
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, Information, and Geospatial Health Tracking (Iowa INSIGHT), a first-of-its-kind initiative dedicated to understanding how Iowa’s environment is impacting the health of its people made possible through