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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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. We envision a research paradigm shift in fluid mechanics to a physics-informed (and -informative) probabilistic learning framework, which leads to disruptive technology transformation in the aerospace
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. We envision a research paradigm shift in fluid mechanics to a physics-informed (and -informative) probabilistic learning framework, which leads to disruptive technology transformation in the aerospace
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mathematics. These positions offer excellent interdisciplinary training possibilities in scientific computing, stochastic modeling, perturbation theory, statistics, and machine learning (applied to image and
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Work type: Full-time School: School of Mathematics and Statistics Subject Area: Analysis, Algebra, Geometry, Equations, Operations Research, Biomathematics/Mathematical Biology, Image Processing