11 parallel-and-distributed-computing-"LIST" positions at Hong Kong University of Science and Technology
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end gratuity will be provided. To apply for the positions, please send your CV, publication list and two letters of reference to phlaw@ust.hk We are not accepting applications for this job through
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, Hong Kong [map ] Subject Areas: Physics / Complex Quantum Systems , Computational Materials Sciences , Computational physics , Condensed Matter Physics , Condensed Matter Physics; Condensed Matter
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; Computational Physics; X-ray Spectroscopy; Electronic Structure; Ultrafast Dynamics , Condensed Matter Theory , Experimental Condensed Matter , Experimental Physics , Fundamental Quantum Science , Hard Condensed
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benefits will be provided. For truly exceptional cases, appointment as non-tenure-track research assistant professor may be possible. Application including curriculum vitae, list of publications, research
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addition to pursuing a vibrant research program, an appointee will be expected to engage in effective teaching at the undergraduate and graduate levels. The current faculty in the particle physics and cosmology group
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research program, an appointee will be expected to engage in effective teaching at the undergraduate and graduate levels. The current faculty in the particle physics and cosmology group at The Hong Kong
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Professor or above will also be considered for candidates with exceptional records of research excellence and academic leadership. In addition to pursuing a vibrant research program an appointee will be
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; Condensed Matter Theory; Computational Physics; X-ray Spectroscopy; Electronic Structure; Ultrafast Dynamics , Experimental Atomic Molecular and Optical Physics , Experimental Condensed Matter , Experimental
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Materials , Theoretical Condensed Matter , Theory Appl Deadline: (posted 2025/03/04, listed until 2026/04/28) Position Description: Position Description Postdoctoral researcher positions in theoretical
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Statistics Group of the department. Why Join Our PhD Program? Our Business Statistics PhD program provides foundational training in mathematical statistics and its applications to fields such as finance