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of Astronomy and Steward Observatory (SO) are excited to invite applications for Postdoctoral Research Associates interested in research related to geospatial data science. As a Postdoctoral Research Associate
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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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area two, which focuses on integration of advanced data science with geospatial technologies to model environmental systems and predict climate impacts. Successful candidates will contribute
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
ability to program (e.g, python, R, and/or javascript). Must have at least some experience working with geospatial data. Preferred Qualifications, Competencies, and Experience Ability to develop impactful
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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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: • 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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Charles Henry Turner Post-doctoral Fellow, Department of Geography & GIS, College of Arts & Sciences
. Job Overview The Department of Geography and GIS at the University of Cincinnati, Ohio, seeks a fellow in geography, geospatial artificial intelligence (GeoAI), and spatial data science for its Charles
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Analysis Location: Centre for Remote Sensing Applications (CRSA), Mohammed VI Polytechnic University (UM6P), Morocco About the Position The CRSA is a leading research hub dedicated to advancing geospatial
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modeling and risk assessment. This role requires expertise in ML model development, geospatial analysis, and environmental data processing. Responsibilities Design and optimize machine learning models (LSTM
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spatial distribution of critical topsoil properties in global drylands. Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and