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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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cooperative perception setting. Semantic-Aware Compression & Network Information Theory: Derive new rate–distortion–reliability bounds, design adaptive codecs that prioritise safety-critical bits, and close
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Fellowship Position on Condensed Matter Theory Location: Shanghai, Shanghai 200240, China [map ] Subject Areas: Physics / Condensed Matter Physics , Condensed Matter Theory , Quantum Computation , Theoretical
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good understanding of the relevant basic theory, skills in data analysis and numerical modelling, and a strong research track record. Please direct enquiries about the role to: Only applications received
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Design and implement optimization techniques for full-stack improvement of quantum algorithms Model major sources of experimental error for control theory or for error mitigation techniques Scientific
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A postdoctoral research associate or more senior research associate position is available in the group of Professor Christos Maravelias in the Andlinger Center for Energy and the Environment and the
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postdoctoral researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see https://www.hw.ac.uk/uk/schools/mathematical-computer
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-dimensional probability, concentration and functional inequalities ? Mathematical aspects of machine learning and deep neural networks ? Free Probability aspects of Quantum Information Theory. While excellent
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graph theory. Qualifications Candidates with a Ph.D. in any area of cognitive neuroscience broadly defined (e.g., Psychology, Neuroscience, Computer Science, or a related field) are welcome to apply
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics