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Field
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confidential spatial health data, including differential privacy and other secure geospatial data protocols. This research will advance our understanding of how major infectious diseases of concern in the UK
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qualifications: Experience creating informative web-based data visualization, especially with geospatial data (e.g. maps). Successful candidates will be expected to lead and collaborate on research projects full
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for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools (e.g., PyTorch/TensorFlow, rasterio/GDAL). Ability to work independently and produce reproducible
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. The selected candidate is expected to have expertise in one or more of the following areas: modeling contaminant flow and transport at various geospatial scales, process-based modeling of soil organic matter
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 13 hours ago
with additional knowledge of Stata or Python. Knowledge of machine learning, geospatial analysis, or spatial statistics are a plus. Duties and Responsibilities A Postdoctoral Fellow (""postdoc"") is a
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-Grant system. Candidates must also have a commitment to UF core values . Preferred: General understanding of Lake Okeechobee, Florida ecosystems specific to wetlands. Hydrologic modeling and geospatial
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
or willing to learn geospatial analysis. Self-motivated Willing to pursue research objectives stated in the projects’ descriptions. Quantitively minded A background in Oceanography, Remote Sensing, Meteorology
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, Agronomy, modeling, biostatistics, or related field The applicant should have documented knowledges in Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
emphasis on remote sensing. 2. Experience of using multiple sources of remotely sensed data, particularly optical, Lidar, and Radar data. 3. Sound statistical skills and use of Machine Learning/Geospatial AI
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MDBs/IFIs Strong publication record Experience working in participatory processes Experience in decision analysis and support processes Teaching experience Experience in geospatial modeling and GIS