3月24日
研讨会, 演讲, 讲座
IAS / School of Science Joint Lecture - Pushing the Limit of Nonlinear Vibrational Spectroscopy for Molecular Surfaces/Interfaces Studies
Abstract Surfaces and interfaces are ubiquitous in Nature. Sum-frequency generation vibrational spectroscopy (SFG-VS) is a powerful surface/interface selective and sub-monolayer sensitive spectroscopic technique to interrogate the vibrational spectroscopy, structure, and conformation, as well…
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11月7日
研讨会, 演讲, 讲座
IAS / School of Science Joint Lecture - Mechanisms of Selective Protein Secretion
Abstract
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10月4日
简介会, 迎新
HKUST Information Session on MPhil and PhD Studies
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9月18日
研讨会, 演讲, 讲座
IAS / School of Science Joint Lecture - Location and Timing: When and Where is Insulin-Like Growth Factor-I Needed to Improve Skeletal Muscle Regeneration
Abstract
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8月25日
研讨会, 演讲, 讲座
Department of Chemistry Seminar - Development of sp3C-H Bond Functionalization by Multiple Catalyst System
Speaker: Professor Harunobu MITSUNUMA Institution: Assistant Professor, The University of Tokyo, Tokyo, Japan Hosted By: Professor Hugh NAKAMURA   Abstract
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8月25日
研讨会, 演讲, 讲座
Department of Chemistry Seminar - Chemoselective Aerobic Alcohol Oxidation by Nitroxyl Radical/Copper Cooperative Catalysis
Speaker: Professor Yusuke Sasano Institution: Lecturer, Tohoku University, Sendai, Japan Hosted By: Professor Hugh NAKAMURA   Abstract
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8月14日
研讨会, 演讲, 讲座
Department of Chemistry Seminar - An Isolable Benzoborirene and the Carborane-based Three-dimensional Analogues
Speaker: Professor Qing YE Institution: Institute of Inorganic Chemistry, University of Wuerzburg, Germany Hosted By: Professor Zhenyang LIN   Abstract
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8月10日
研讨会, 演讲, 讲座
Department of Chemistry Seminar - Studies on Dearomative Spiroannulation Reactions
Speaker: Professor Xinjun LUAN Institution: College of Chemistry and Materials Science, Northwest University, Xi’an, China Hosted By: Professor Jianwei SUN
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8月9日
研讨会, 演讲, 讲座
Department of Mathematics - Seminar on Statistics - Effective Algorithms for Differentially Private Synthetic Data Generation
Differentially private synthetic data provide a powerful mechanism to enable data analysis while protecting sensitive information about individuals.
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