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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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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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interdisciplinary 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
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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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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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around the world, and completing the special construction work of the Institute and other work related to the Institute. Qualifications and Requirements: 1.A PhD degree in a relevant discipline, preferably
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video analysis). Applicants must have, or be close to completion of a PhD in mathematics, physics, statistics, biomedical engineering, computer science, or another related field. Applicants should have
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PhD degree in theoretical physics or related subjects. Eligibility: Candidates of all nationalities are welcome to apply. The working language is English. Duration: 2 year with possibility of extension
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or continuously monitord systems are especially encouraged to apply. However, other research profiles, within the realm of theoretical physics, especially will also be seriously considered. Requirements: A PhD