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science, computer science, or a related discipline is required by the start date. Candidates should have strong Python and geospatial-data analysis experience, demonstrated independent research ability, and
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., PyQGIS, Dash, Streamlit, or web-GIS frameworks). Familiarity with GIS concepts and geospatial data structures; experience with QGIS or ArcGIS will be an advantage. Ability to translate analytical models
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to evaluate the technical, environmental, and socioeconomic implications of transitioning to resilient crops in the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial
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to evaluate the technical, environmental, and socioeconomic implications of transitioning to resilient crops in the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial
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of research experience. Preferred Qualifications: Master's degree in Geography, Environmental Sciences, and Engineering, or equivalent, with emphasis on Flood Modeling and Geospatial Analysis. At least 2 years
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(http://www.cmast.ncsu.edu), and MEAS faculty participate in the Center for Geospatial Analytics (http://geospatial.ncsu.edu). The North Carolina State Climate Office (https://climate.ncsu.edu/) and the
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statistical data science, focusing on health data applications, machine learning, epidemiology, and geospatial data science. Supervise graduate and postgraduate students, supporting their research projects and
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and AI algorithms Solid programming skills in Python and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience working with geospatial data (e.g., geopandas
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
understanding of physical and chemical processes in soils. You have experience with geospatial modeling and are proficient in a programming language relevant to data analysis (ideally R). Additionally, you
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: Full Time Closes: 7 January2026, 23:59 GMT Application link: https://www.essex.ac.uk/postgraduate/research/doctoral-training-partnerships/aries ARIES (Advanced Research and Innovation in