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Field
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for SDA, focusing on intelligent sensor tasking and the automated identification and characterization of space objects in Earth orbits and cislunar environment using optical data. Contribute
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sensor research and development for energy applications, with a focus on advanced manufacturing technologies. The MSA group consists of staff members with backgrounds in mechanical engineering, materials
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Additional Information Eligibility criteria Physics, applied physics, engineering sciences, optics and/or MEMS technologies. Experience with atomic/quantum clocks, sensors and metrology is a strong plus-value
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: Strong background in controlled environment agriculture (e.g., greenhouse or growth chamber research). Experience with experimental design, data collection, and statistical analysis. Experience with sensor
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orbital sensors (e.g., ECOSTRESS, VIIRS, Landsat/MODIS) to build pre- and post-fire structural and functional diagnostics. Develop recovery chronosequences from multi-sensor time series and quantify
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), to work on problems at the intersection of biology, medicine, mathematics and computation. The successful candidate will contribute to the development of next-generation learning algorithms to understand
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Requisition Id 15472 Overview: We are seeking a Postdoctoral Research Associate who will contribute to the development and implementation of novel tensor network algorithms and their combination
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AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials
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particular focus on applications relevant to the Arab world. The successful applicant will join a multidisciplinary research team working at the intersection of machine learning, algorithmic fairness, human
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conferences and journals. Overview: The successful candidate will join an interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific