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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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, Geospatial Science, Data Science, Computer Engineering, or a closely related field, with an emphasis on machine learning, AI, remote sensing, computer vision, or interdisciplinary data science applications
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, Hydrology, Geosciences, Environmental Science, Environmental Engineering, Civil Engineering, Mining Engineering, Environmental Modelling, Geoinformatics, Geospatial Data Science, Geology, Applied Computer
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learning, persistence, and success in multiple Geography subfields, e.g. Physical, Cultural, and World Regional. Experience with applying and teaching Geospatial Technology in a variety of disciplines. An
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collaboration with the Clinton Health Access Initiative and national HIV programmes in Malawi, Zambia, Zimbabwe, and Mozamabique. Geospatial modelling of national surveillance and programme data in South Africa
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between vegetation growth and wave attenuation can lead to alternative stable states (bare tidal flats versus developing mangrove forests). The project combines controlled flume experiments, geospatial data
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) program. The position may also contribute to the Department’s graduate certificate in Geospatial Intelligence as well as the residential undergraduate and graduate programs. This is a nine-month full-time
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. This position is subject to the terms of the LEO bargaining agreement. The full LEO contract can be found at https://hr.umich.edu/sites/default/files/um-leo-agreement-2021-2024-final.pdf. The School
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
Research Infrastructure? No Offer Description Applications are open for 2 (two) Research Studentship(s), within the framework of project GeoARMUR “Geospatial AI for Resilience Management and Urban Recovery
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interdisciplinary research group focused on integrated approaches to geospatial systems analysis. We apply a complex adaptive systems approach that explicitly emphasizes behavioural models of human action-taking and