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; no new applications will be accepted after 2025/06/01 11:59PM US Eastern Time. Position Description Applications are invited to a postdoctoral opening in computational physics in the School of Physics and
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: Quantum Information Science / quantum computing Appl Deadline: none Position Description: Apply Position Description An experimental postdoctoral position is open to work with the group of Prof. Tim Byrnes
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Systems and Informatics (BSI) Centre for Infection Immunity and Cancer (IIC) Biomedical Health and Translational Research Centre (BHTRC) The Opportunities ZJE is seeking highly motivated individuals to fill
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Complex Variables, Lie Groups, Algebraic Geometry. 3) Aged under 35. Compensation and Benefits 1. The research team offers a competitive and negotiable compensation package commensurate with the candidate's
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Xi'an Jiaotong - Liverpool University – XJTLU Technology Transfer Centre Position Overview Contract Type: Fixed-term, two-year contract About Postdoctoral Programme The postdoctoral program at XJTLU
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for faculty positions in mathematics and related interdisciplinary areas, including but not limited to: Computational and applied mathematics; artificial intelligence for sciences (especially biomedical science
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University of Science and Technology of China, The Institute of Geometry and Physics Position ID: igp -POSTDOC [#26617] Position Title: Position Type: Postdoctoral Position Location: Hefei, Anhui
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. - Research Areas: Positions involves research in smooth and continuous dynamics, including but not limited to: hyperbolic and non-uniformly hyperbolic systems, fractal geometry, Diophantine approximation and
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computing - Correlated phenomena and quantum geometry effects in moiré superlattices and flat-band systems. - Transport phenomena in superconducting and electronic quantum devices. - Microscopic mechanisms
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optimization algorithms for both estimation and inference. Special emphasis is placed on advancing statistical approaches to address the demands of increasingly complex, high-dimensional, and unconventional data