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Field
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Campus, North Ryde About the Role This position is part of the John Templeton Foundation's project Cognition All the Way Up. The appointee will work with Dr Bourrat (Philosophy), Prof. Barron (Biological
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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Computer/Information Sciences Internal Number: A-168130-3 General Description Professor Gillian Hadfield is seeking a highly-qualified postdoctoral scholar to join her team at the Normativity Lab in
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The Design, Trials and Statistics section in the Division of Population Health based in the School of Medicine and Population Health is seeking to recruit a Research Fellow/ Statistician who has a
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, NeurIPS, ICML, ICLR, and etc. Experience in interdisciplinary studies of deep learning, mathematics, and physics is preferred. Strong theoretical background in quantum learning theory, quantum many-body
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logic, mathematical physics, numerical analysis, neural networks, representation theory, and topology, with potential interdisciplinary applications. About Baylor University: Baylor University is located
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: Develop novel machine learning theories and techniques for analyzing noisy time-series data, with a particular focus on seismic signals Perform uncertainty quantification in time-series analysis to assess
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within RMIT's School of Science. This is an exciting opportunity to contribute to cutting-edge research in quantum science and mathematics, specifically within the QuRMIT Theory Lab and the ARC Future
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discipline within RMIT’s School of Science. This is an exciting opportunity to contribute to cutting-edge research in quantum science and mathematics, specifically within the QuRMIT Theory Lab and the ARC
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research