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- ; Xi'an Jiaotong - Liverpool University
- Southern University of Science and Technology
- Westlake University
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- Institute of High Energy Physics of the Chinese Academy of Sciences
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- Zhejiang University of Technology
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boasts 9 first - class courses in Zhejiang Province and 3 key textbook projects under Zhejiang Province's "14th Five - Year Plan." Faculty Strength: The faculty consists of over 80 members (68 full - time
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Zhennan Zhou's primary research interests lie in the applied analysis of differential equations and stochastic models, as well as the design and analysis of numerical methods for scientific problems
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talent around the globe and pioneer in theoretical research in a range of fundamental disciplines, including mathematics, theoretical physics, etc. The institute also carries out scientific research plan
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to provide a platform for scholarly communication among young mathematicians to promote academic innovation. It will be held both online and offline. Young scholars in relevant fields are welcome to register
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contributions are as follows: 1. Discovered and delineated the furcated droplet motility on crystalline surfaces (Nature Nanotechnology 2021); 2. Designed lossfree fluid gripper and photopyroelectric
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internationally competitive annual salary (RMB 300K+; negotiable) and benefits including excellent medical insurance, rent-subsidized on-campus housing, children‘s education and retirement plan. You have the
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in Jiangmen, China, designed to address fundamental questions in neutrino physics and astrophysics. With a 20-kiloton liquid scintillator detector located 700 meters underground, JUNO aims to determine
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contributions are as follows: 1. Discovered and delineated the furcated droplet motility on crystalline surfaces (Nature Nanotechnology 2021); 2. Designed lossfree fluid gripper and photopyroelectric
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, bio-inspired amphibious robots design as well as AI application in vortical flow control and sensing. Based on physics-informed (and -informative) machine learning, we combine domain expertise (fluid
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, bio-inspired amphibious robots design as well as AI application in vortical flow control and sensing. Based on physics-informed (and -informative) machine learning, we combine domain expertise (fluid