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University. Key Responsibilities: Conduct research on methods and approaches to support air traffic management studies and applications. Develop, test, and evaluate analytical models, algorithms, and tools
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developments in sensor design, dataset transmission, data analysis, and numerical modeling to distinguish between normal and abnormal features. Here, the goal is to develop machine learning algorithms
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experimental evaluation of algorithms. Prepare and publish research findings in peer-reviewed journals and present results at conferences. Assist in the mentorship of graduate and undergraduate students
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 9 hours ago
to minimize algorithmic bias. Develop expertise in evaluating AI devices that can adapt and learn post-deployment, including understanding evolving algorithms and creating methodologies to assess algorithm
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 24 hours ago
. Lab Research: • AI-Driven Algorithms & Software: Develop deep leering/machine learning/statistical based algorithms to elucidate lncRNAs, fusion transcripts, RNA modifications, and circular RNAs in
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to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
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and atomic experimental physics. Our lab focuses on developing scalable quantum processors using neutral atom arrays, with a strong emphasis on bridging theoretical innovation and experimental
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collaborative research projects, develop novel computational algorithms, and contribute to high-quality publication and grant-related activities. The position offers opportunities to work in a dynamic research
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the “Inverse Problem” component of the project: developing and validating a satellite-based pancake-ice detection algorithm using ICESat-2 wave-damping observations within a Bayesian inversion framework
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motivated Postdoctoral Associates to join our research team in the field of AI for Precision Medicine and Therapeutics. They will work on developing Artificial Intelligence (AI) and network data science