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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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Field
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with Python or C. Solid understanding of linear algebra, calculus, and probability theory. Strong background in machine learning and deep learning is highly preferred. The ideal candidate will have
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the following is preferred: Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based Statistics, linear algebra, and data structures Exploratory data analysis and
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science, information technology, electrical engineering, physics, mechanical engineering, or a comparable qualification Very good knowledge of mathematics, especially in linear algebra and numerical optimization Understanding
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of linear algebra and numerical optimization Understanding of statistical modeling and inverse problems is desirable Experience with programming languages like Python, MATLAB, or C++ Joy in dealing with
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research (e.g., integer linear programming and constraint programming); heuristics, meta-heuristics, and evolutionary computations; distributed and cloud computing; automated reasoning (e.g., formal and