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Field
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expertise in reflectance spectroscopy and chemometrics for vegetation analysis or high-throughput phenotyping. A strong background in GeoAI, computer vision, and data fusion techniques. Experience designing
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 15 hours ago
, such as deformation, impact and high-enthalpy heating. Woven material performance depends on microstructure, damage and weave geometry. Therefore, fiber-specific models are needed to simulate fiber contacts
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Preferred Qualifications Doctoral (Ph.D.) degree in Mathematics, Computer Science, Computational Biology, or another relevant field. Graduate training in mathematical modeling, predictive modeling, machine
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Florida International University is a top public university that drives real talent and innovation in Miami and globally. Very high research (R1) activity and high social mobility come together
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bridging basic science discovery with translational application, this role offers the chance to work on high-impact projects with direct relevance to maternal-fetal medicine and pediatric surgery. Key
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Applicants must have a PhD or foreign equivalent degree in quantum information science, high-energy physics, nuclear physics or computer science, broadly defined, by the date of appointment. Instructions
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The postdoctoral track of the CITP fellows' program is for people who have recently received or are about to receive a Ph.D. or doctorate degree and work on understanding and improving
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/modeling, at the Electrical and Computer Engineering Department, and in collaboration with the Applied Mathematics Department, Santa Clara University. This is an in-person position at Santa Clara University
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: Ithaca, New York 14853-3501, United States of America [map ] Subject Areas: Computer Science / Engineering Environmental Engineering Water Resources Environmental Processes Engineering Management Appl
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that houses advanced 3T human and 9.4T preclinical MRI scanners, both equipped with ultra-high-performance gradient systems. Qualifications: Applicants must hold a doctoral degree, preferably a Ph.D. in