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dialogue. Projects may span specific application domains like healthcare and education, but will always emphasize generalization and broader impact. Specific sensing modalities include monocular RGB imagery
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and remote sensing datasets for model validation. Develop new functionalities in the Community Land Model (CLM) within CESM. Conduct model simulations to investigate how the tropical atmosphere responds
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, particularly Python; (ii) use of parameter optimization algorithms, particularly PEST and PEST++; (iii) remote sensing applied to the water cycle; and (iv) application of machine learning techniques to spatio
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of Agriculture (USDA), Agricultural Research Service (ARS), Hydrology and Remote Sensing Laboratory. This opportunity is in Beltsville, Maryland. The Agricultural Research Service (ARS) is the U.S. Department
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collaboratively with our team, you will analyze forest inventory data, along with ancillary data including gridded climate data, remotely sensed information, land use, human population and income, global trade, and
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the Eurasian Basin, between Fram Strait and the North Pole, as well as including the adjacent continental slopes. Pan-Arctic perspectives will be ensured through remote sensing, research on broader
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and qualifications: Experience in deep learning for remote sensing. Contracting requirements: Presentation of the academic qualifications and/or diplomas, if applicable. Enrolment in Master's degree in
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of conceptualization, design, modeling, fabrication, and experimental validation of novel robotic and mechanical systems, including soft actuators, hybrid robotic mechanisms, sensing-enabled structures, and human
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QuPID ), QRI is driving next-generation Quantum Light Information Technology (QLIT), including Plug-and-Quantum-Sense Chips, quantum transduction, atomic qubits, and quantum error correction. Postdoctoral
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, Environmental Sciences, or Geography. Preferred conditions for the position include proven experience in Geographic Information Systems (GIS) and remote sensing tools (e.g., satellite data), as well as experience