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by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational
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learning algorithms into professional software with an intuitive user interface, incorporating feedback from CHWs through iterative design and evaluation cycles. The selected candidate will be part of a
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Position Overview School / Campus / College: College of Arts and Sciences Organization: Speech & Hearing Sciences Title: Postdoctoral Scholar - Behavioral and Neural Development of Social
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opportunity to contribute to cutting-edge research at the intersection of artificial intelligence, machine learning, and healthcare. The successful candidate will develop and apply advanced machine learning
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large quantities of data to gain a greater understanding of our systems and develop data analytics and artificial intelligence algorithms. You will be actively engaged in the research and development
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network modeling to address real-world policy challenges through algorithm development and technical analysis. Key Responsibilities Conduct original research in generative AI Train and supervise graduate
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
opportunity? Please email npp@orau.org Qualifications Candidates should have demonstrated experience with: Developing space-based swarm/constellation optimization algorithms Extensive communications protocol
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
applicability to the design, development, and science return of space science missions. There is growing interest for the tools and practices of uncertainty quantification to be used to inform the engineering
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Professor Lei Xie seek to hire Postdoctoral Research Associates to train in and oversee in interdisciplinary projects involving AI algorithm development, physiologically based pharmacokinetics, computational
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developing or applying parallel algorithms and scalable workflows for HPC resources. Experience developing or applying privacy-enhancing technologies such as federated learning, differential privacy, and