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, computational mathematics, and optimization and operations research. More information about the Department can be found at https://hkumath.hku.hk/web/index.php . Position Description The Department seeks a
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programs in Algorithms, Combinatorics, and Optimization (ACO), Computational Science and Engineering (CSE), Bioinformatics, Quantitative Bioscience (QBioS), and Machine Learning (ML@GT). Equal Employment
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scientific computing, control theory and optimization, operational research, machine learning, probability, and related applications. The Department delivers courses for three four-year undergraduate
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of efficient AI-for-Science systems, leveraging foundation models (including small language models) and parameter-efficient adaptation techniques such as LoRA, grounded in a strong understanding of optimization
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deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical optimality with computational efficiency. Reinforcement Learning through Stochastic Control. We will
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at the interface of optimization, geometry, and machine learning Designing, implementing, and testing algorithms Engaging in scientific exchange with collaboration partners of the project Preparing reports
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Tech, including PhD programs in Bioinformatics; Quantitative Biosciences (QBioS); Algorithms, Combinatorics, and Optimization (ACO); Computational Science and Engineering (CSE); and Machine Learning (ML
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Assistant Professor/Associate Professor/Senior Associate Professor/ Professor in Applied Mathematics
optimization, operational research, machine learning, probability, and related applications. The Department delivers courses for three four-year undergraduate mathematics programmes and also provides service
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at the interface of optimization, geometry, and machine learning Designing, implementing, and testing algorithms Engaging in scientific exchange with collaboration partners of the project Preparing reports
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to scientific computing and other scientific domains. Candidates with strong backgrounds in stochastic analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas