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Field
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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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/Human Geography and Organizational Theory Apply for this job See advertisement About the position There is a vacant position at the Department of Sociology and Human Geography for a research fellow (SKO
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ecological theories to advance our understanding of ecosystem functions and their response to climate change. Job Description The ideal candidate is expected to be highly creative, have strong numerical and
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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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- Location: Wallumattagal 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
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
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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: A-170999-1 General Description Salary: $70,000 - $86,000 a year Johns Hopkins Carey Business School invites applications for a postdoctoral fellowship position in the academic area of information
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calculations. Conduct Accurate Calculations: Perform accurate wavefunction calculations on high-performance computer clusters to generate ab initio reference benchmarks. Collaborate and Publish: Work closely
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Posting Details Position Information Posting Number SRGV8413 Working Title POSTDOCTORAL FELLOW Number of Vacancies 1 Location Edinburg, Texas Department College of Sciences / Mathematical and
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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