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Field
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Posting Details Position Information Job Title Postdoctoral Fellow - Geospatial Investigations of Water and Wastewater Infrastructure Posting Number P1896F Position Summary Information Job
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language processing of Chinese firm annual reports, job posting and policy documents, geospatial analysis of telecommunication infrastructure, and large-scale data management spanning multiple datasets to produce
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/ Associate in African heritage and geospatial data science. This is a fixed term appointment for 24 months. The post holder will work as part of the Mapping Africa's Endangered Archaeological Sites and
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for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools (e.g., PyTorch/TensorFlow, rasterio/GDAL). Ability to work independently and produce reproducible
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within the scope of Own funding for the development of R&D projects of FCiências.ID, under the following conditions: Scientific Area: Geospatial Engineering Admission requirements: Degree in Geospatial
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sensing-based flood detection and mapping, and geospatial modeling. Two (2) years of postdoctoral experience in related research. Background Investigation Statement: Prior to hiring, the final candidate(s
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Modeling and Geospatial Analysis. Two (2) years of postdoctoral experience in related research. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre
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Environmental Science, Physics, Mathematical Sciences, Geospatial Sciences and Computer Science (Information Technology and Software Engineering). One of RMIT's top-performing research schools, we deliver
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of research outcomes to end users, including potential commercialisation of UQ intellectual property. Review and apply best-practice research methodologies in geospatial data science and climatology
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
. Integrate independent references for rigorous validation. Methods & Data Engineering Design generalizable, well-documented pipelines for data fusion and modeling using established geospatial and scientific