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Field
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, data science, civil engineering, or a related field, with research expertise in geospatial artificial intelligence, human dynamics, and/or urban informatics. Candidates will need to have completed
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, Zambia, Zimbabwe, and Mozamabique. Geospatial modelling of national surveillance and programme data in South Africa to develop new tools to support national HIV and TB policy in South Africa through
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with deep learning models such as autoencoders and neural networks. Experience with ecological, geospatial, or movement data (e.g., GPS telemetry). Strong oral and written communication skills, including
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information from a wide variety of sources to conduct epidemiological, ecological, economic, geospatial, and environmental analyses and other assessments of present, future, and emerging threats to animal
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computing (HPC) environments and experience with geospatial libraries (e.g., Xarray, Dask). Desired Experience: Prior experience with quantifying and understanding climate variability and extremes (floods
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or relevant lived experience. Familiarity with geospatial analysis in R or ArcGIS. To Apply: Applicants should submit a cover letter, curriculum vitae, and research report documenting experience in the areas
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or relevant lived experience. Familiarity with geospatial analysis in R or ArcGIS. To Apply: Applicants should submit a cover letter, curriculum vitae, and research report documenting experience in the areas
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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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phenotyping using both drone-based and ground based sensing platforms. Learn artificial intelligence and machine learning techniques to analyze image and geospatial data from diverse sources for crop monitoring
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to resilience modelling, infrastructure risk assessment, geospatial or systems analysis, and documentation of case studies as well as supporting project management and partner coordination. Working closely with