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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment. * Excellent planning, organization and execution skills. * Positive attitude
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, algorithm development, and computational methods · Experience applying bioinformatics or computational approaches to interdisciplinary research problems · Strong written and oral communication skills
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performance. Duties and responsibilities include the development of new abstractions and algorithms using computational sheaf theory. Such algorithms will be developed for understanding composite energy-driven
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a focus on quantum information theory, quantum algorithms, and the theoretical underpinnings of quantum computation. This role involves developing mathematical models, conducting rigorous theoretical
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level will have demonstrated the potential for scholarly research, possibly as part of a larger research program, and will have a track record of high-quality peer reviewed publications and participation
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algorithms (convex/nonconvex, stochastic/robust, MPC) for real-time dispatch, frequency regulation, and DER coordination. Integrate data-driven and physics-informed approaches for state estimation, forecasting
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for scholarly research, possibly as part of a larger research program, and will have a track record of high-quality peer reviewed publications and participation in relevant academic or professional meetings
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/OOP, Software Engineering, Computer Net-works, Computer Architecture and Organization, C/C++, Algorithms, Data Structures, Cybersecurity, Embedded Systems, Databases, Machine Learning, Artificial
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, Javascript, and SQL. Experience in front end and back end development. Computer Science fundamentals in data structures, algorithm design, problem solving, and complexity analysis. Knowledge of professional