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Scholarship (BIPD) to holders of a PhD degree obtained in less than 3 years within the scope of the project 3D-FIRST-“Enhanced Forest Inventory Metrics through Advanced Remote Sensing Technologies”, taking
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methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision-making in IoT, wireless communication, and remote sensing systems Collaborate with multidisciplinary
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needs. Remote Eligible: This position is not eligible for remote work Special Instructions to Applicant: This is a part-time position with a maximum of 19.5 hours per week. Job Summary: Reporting
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, institutional analysis, and resource-use conflicts. The Departments of Human Geography, Physical Geography and Cartography, GIS and Remote Sensing are closely linked with the Centre for Biodiversity and
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of QRI Fellow Mentors can be found here: https://quantum.umich.edu/fellows/ . Open to all quantum science and technology disciplines, including spectroscopy, photonics, devices, sensing, computation
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Apply Now How to Apply A cover letter and resume are important submissions for the hiring team to get a sense of your experience. In the cover letter, in one page or less, please let us know how
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of Virginia aims to improve understanding of climate-related hazards (wildfire, drought, flood) and their impacts on natural environments and human communities using remote sensing, Earth system modeling, and
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selection criteria You must have a relevant Master's degree in electronics, RF communications, remote sensing/radar, signal processing, aerospace or equivalent. Your course of study must correspond to a five
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of the following thematic areas: Engineering of AI/ML-autonomous systems with applications to remote sensing/mapping AI/ML-enabled approaches to microbiome science AI/ML applications in forestry and/or hydrological
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 12 hours ago
foundation layer built upon the NASA/IBM PRIVHVI Foundation Model, fine-tuned to Cryosphere, Solid Earth, and Sea Level applications. This layer will ingest heterogeneous remote sensing and in-situ