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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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Project title Multi-Modal Large Language Model for Medical Image Analysis Research period 2 years Abstract The proposed research project aims to develop a novel multi-modal large language model (MLLM
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an opening for a post-doc position. We are seeking excellent researchers in design, analysis, implementation and/or application aspects of the following areas, and will offer internationally competitive salary
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conjecture, -- Langlands program and related problems, -- algebraic geometry and complex geometry, -- partial differential equations and in particular Navier-Stokes equations, -- stochastic analysis
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: Innovate in vacuum systems, laser stabilization, and real-time control software for scalable qubit architectures. Qualifications · For Theorists: o PhD in quantum information, theoretical physics
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teams to integrate AI and machine learning techniques into lattice field theory frameworks. - Engage in large-scale numerical simulations, performance analysis, and optimization using state-of-the-art
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are welcome. Skills are not essential but experiences in the following areas are preferred: biological physics, quantitative biology, nonlinear dynamics, stochastic simulations, dynamic systems, numeric
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Institute and other work related to the Institute. Qualifications and Requirements: 1.A PhD degree in a relevant discipline, preferably international relations, political science, economics, sociology
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Neutrinos in the Multi-Messenger Era • Numerical Simulation of Core-collapse Supernovae IHEP values diversity and welcomes candidates from all backgrounds worldwide. Knowledge of the Chinese language is not
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or about to obtain a Ph.D. degree in Mathematics. 2) Have a solid background in Analysis. Compensation and Benefits: The research group offers a competitive compensation package commensurate with