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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 7 days ago
orbit (LEO) sensors Integrate and test the impact of UV AOD observations from hyperspectral sensors in LEO and GEO orbits on the aerosol analysis and forecast utilizing the JCSDA-Joint Effort for Data
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Hours of work: Full-time Tenure: Permanent We are seeking a Data Scientist to support the research and impact activities of Professor Alex Singleton and work within the research and data services
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4 Jul 2026 Job Information Organisation/Company Ghent University Research Field Computer science » Database management Computer science » Other Researcher Profile Recognised Researcher (R2
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Where to apply Website https://www.timeshighereducation.com/unijobs/listing/413323/post-doctoral-assoc… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteNEW
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remote sensing of vegetation, e.g. spectral mixture analysis. Other merits We are particularly interested in candidates with: Experience with web-GIS development or geospatial data visualization
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of Hong Kong has a highly ranked engineering school and active electrical and electronic engineering programmes. Information about the Department can be obtained at https://ece.hku.hk/ . Applicants should
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/3rdAI For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/ The University, at its discretion, may undertake to make
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recognized leader in cartographic design, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research
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modeling or geospatial/temporal data analysis Causal inference ● Strong programming skills in Python and experience with PyTorch, required to have experience developing code with a team through collaborative
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and/or case-crossover analyses, and have a promising publication record. Expertise in one or more of the following areas: statistical analysis of large data sets, machine learning, data visualization