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Field
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Computer Science, Information Theory, Physics or related fields High level of mathematical maturity Experience with topics related to quantum LDPC codes and decoding algorithms, or demonstrated ability and
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to perform theoretical physics research at the interface of quantum information, condensed matter and high-energy physics. A strong background and interest in one or more of the following topics is desirable
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yield optimization. Exposure to quantum chemistry (DFT) and molecular simulations is a plus. Experience with cloud computing and/or high-performance computing (HPC) resources. Application Process
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, and will be making use of Penn State high-performance computing resources. He will be encouraged to interact with other students, postdocs, and faculty within the Department of Physics and related units
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with competencies in electrical and photonics engineering. Research is performed within nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical
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processes, Bayesian inference, signal models, sampling theory, sensing techniques, optimisation theory and algorithms, multi-modal data processing, high-performance computing, mathematical image analysis
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Institute of Theoretical Physics, Chinese Academy of Sciences, High energy theory Position ID: Institute of Theoretical Physics, Chinese Academy of Sciences -High energy theory -POSTDOC [#30140
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molecular/condensed matter physics) and the developments on new tools in perturbation theory and in computational methods (gradient flow), including quantum computing. We look for ambitious candidates with a
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within the 2DPHYS and CAMD sections at DTU Physics as well as at DTU Compute and DTU Nanolab. Required qualifications Significant experience with theoretical and computational nanophotonics High level of