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are looking for candidates to have the following skills and experience: Essential criteria 1. PhD qualified in a relevant subject area, such as theoretical physics, computational physics, quantum information
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-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine learning, quantum computing, graph theory, graph-signal processing, and convex/non-convex
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Applicants are expected to hold a PhD and excellent study records in theoretical physics, mathematics, computer science, or other relevant field. have sufficient background in quantum computing to conduct
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and are looking for a Postdoctoral Research Associate in Applied Quantum Computing Research who has: a PhD or near-completed PhD in quantum mechanics, quantum computing, computer science, data science
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computing, computational biology, genomics, and materials science. You will have the opportunity to delve deeply into quantum computing and contribute to high-quality research with real-world impact. Join us
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-completed PhD in quantum mechanics, quantum computing, computer science, data science, operations research, applied mathematics, or a closely related field. demonstrated ability to conduct independent, high
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-completed PhD in quantum mechanics, quantum computing, computer science, data science, operations research, applied mathematics, or a closely related field. demonstrated ability to conduct independent, high
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of future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine learning, quantum computing
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Science and Nanotechnology, Atomic/Molecular and Optical Physics, Complex Systems and Computational Physics, Biophysics, and Plasma and Space physics. The Department is now seeking a postdoctoral researcher
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quantum chemical methods and machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational methods to study multiscale