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Field
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Proficiency in Python for geospatial data handling, model workflows, and scientific computing Strong communication skills and enthusiasm for interagency scientific research Application Requirements A complete
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Geological Survey Location Moscow Posting Context Statement The Idaho Geological Survey is seeking a GIS Specialist to join a multidisciplinary team supporting geologic mapping and geospatial data initiatives
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of software tools for geospatial data management (e.g., QGIS, ArcGIS); - Knowledge of languages and advanced tools for the harmonization and analysis of qualitative and quantitative data (e.g., Python, Matlab
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from data sources such as relational databases and flat files. Experience analyzing data from large datasets, using geospatial and/or statistical analysis tools. Extensive experience developing and
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are looking for Research Data Scientist, to join our Geospatial Data Science team in the Applied Research Laboratory (ARL) at Penn State. You will aid our research efforts in this unique problem area that has
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the structure of real prospection activities by integrating multiple, heterogeneous geospatial and archaeological data layers. Within this environment, we will design and evaluate new reinforcement learning
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, - the design and implementation of data models and databases, including geospatial databases, - the development of data processing and integration pipelines (scripts, pipelines) , - support to scientif ic
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Jersey. This project integrates residential histories, geospatial air-pollution estimates, cancer registry data, medical and pharmacy records, patient-reported outcomes, and circulating biomarkers
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, computationally efficient modeling techniques, and critical evaluation of highly multidimensional model outputs. Experience with small-area or geospatial epidemiologic models. Ability to work both independently and
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the guidance of a mentor, you will learn about (1) geospatial processing and ML/AI methods and (2) how to contribute to SCINet and the ARS AI Center of Excellence community by developing and publishing workflows