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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 months ago
innovative research that links in-situ biodiversity observations with NASA remote sensing to generate products and insights that enables NASA stakeholders and partners, including CA-SSN, to quantify
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. Description of the position: ASARI seeks a Postdoctoral Research Fellow to join a team of agronomy, agroecology, soil fertility management and remote sensing research experts who seek to develop precise
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focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction
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spatial analysis and vulnerability mapping for flood-prone regions. Utilize remote sensing and geospatial tools to analyze flood exposure and mitigation strategies. Support the ClimateIQ project by
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of machine learning, remote sensing and hydrology to evaluate and validate nature-based solutions that enhance local recharge and support the replenishment of shallow groundwater systems in dryland
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, multi- layered spatial data sets (e.g. Remote Sensing and GIS), and contributing to the growth of the interdisciplinary Integrated Coastal Studies Program, which focuses on issues related
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ability to regenerate forests that have reduced fire risk in the future. The researcher will build on existing empirical forest data, climate and micro-site data, and remote sensing data that has been
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engineering, earth science, computer science, or related field required. A PhD specializing in glacier modeling, remote sensing, and/or statistics preferred. Python coding experience preferred. Strong
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ARC Industry Laureate Post Doctoral Research Associate in Effecting Solutions for Risk to Remote Ind
, ‘Safe Keeping: Effecting solutions for risk to remote Indigenous heritage’, led by Professor Robyn Sloggett, you'll play a crucial role in safeguarding remote Indigenous heritage. You'll have the
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. Apply advanced vision and language models to enhance remote sensing foundation models for cross-scale landscape ecology and land cover classification. This position is also responsible for project