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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
world. Position Summary The postdoctoral researcher will conduct advanced research in artificial intelligence (AI) and machine learning, with a focus on developing novel algorithms and systems. The position offers
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Research Associate in Logical Foundations of Planning. In this role you will work closely with Dr Rubin on research projects, and contribute to the collegial culture of the Sydney Algorithms and Computing
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analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under
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mission is to create the theoretical, computational and algorithmic paradigms that will enable us to understand the programs of life and how they connect across scales, from proteins to cells to tissues and
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of artificial intelligence with quantum science, focusing on three synergistic directions: • AI for Quantum: We develop advanced, physically grounded AI algorithms to solve fundamental problems in quantum
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or communications venues. Interest in mission-critical and critical infrastructure scenarios. What you will do Develop models, algorithms and optimization methods for resilient 6G transport networks, using machine
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loads, transmission networks, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component/device models into open-source software tools for integrated
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or communications venues. Interest in mission-critical and critical infrastructure scenarios. What you will do Develop models, algorithms and optimization methods for resilient 6G transport networks, using machine
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algorithms that feature built-in verifiability and robust defensive capabilities. Collaborate closely with top-tier European universities and industrial partners. Participate in project implementation and
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 9 days ago
questions in Earth System science is also a goal of this opportunity. Efforts are expected to be conducted in collaboration with the SAGE algorithm/data processing and validation teams, as