11 optimization-nonlinear-functions Postdoctoral positions in material-science in China
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- Westlake University
- Beijing Academy of Quantum Information Sciences
- Chinese Academy of Sciences
- Chinese Institute for Brain Research
- Great Bay University
- Institute of High Energy Physics of the Chinese Academy of Sciences
- Southern University of Science and Technology
- University of Chinese Academy of Sciences (UCAS)
- University of Electronic Science and Technology of China (UESTC)
- University of Science and Technology of China (USTC)
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Field
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complexity theory to understand and enhance modern AI. Successful candidates will work closely with leading Principal Investigators and collaborators within BAQIS and its extensive network on cutting-edge
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, -- partial differential equations and in particular Navier-Stokes equations, -- stochastic analysis, -- mathematical theory for artificial intelligence, -- optimization and numerical computation over manifold
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modified in many different ways by designated enzymes of the cell. These modifications encode further information on the DNA and RNA that are critical to cellular function. These DNA and RNA modifications
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conjecture, non-uniqueness constructions via convex integration, global attractors, the role of intermittency in turbulent flows. Professor Alexey Cheskidov’s Mathematical Fluid Dynamics page：https://its
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for Science and scientific computing. Research Description The postdoctoral researchers will work with Prof. Zhihong Xia and collaborators on AI-enabled methods for scientific and industrial computation
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and Technology of China. The accepted postdocs will work on one or more of the following subjects or related subjects: quantum simulation of gauge theory, quantum observables in high energy colliders
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to apply. The positions are initially for two years, but can be renewed for up to six years depending on research performance. Some suggested research topics may include: (i) quantum metrology, (ii
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matter and astrophysics. Successful candidates can choose to work on one of the three experiments: JUNO, SNO+, TRIDENT. As the world-largest liquid scintillator detector, JUNO will pin down the neutrino
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neural networks, and related areas. The previous research work has been partially supported by research grants from several countries, including EPSRC Programme grant "Symmetries and Correspondence
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research and a record of publications in peer-reviewed journals. The successful applicant will work with Jun Zhang (https://inspirehep.net/authors/1286711 ). The selected applicant is also encouraged