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Responsibilities: Development of stochastic and analytical methods for nonlinear partial differential equations Implementation of relevant numerical experiments using deep learning algorithms Job Requirements: PhD
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record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models. Possess sufficient specialist knowledge, research
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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) Singapore. The incumbent has freedom to design the nature and type of deep learning simulations. Key Responsibilities: Utilize recently developed mathematical tools from algebraic topology, combinatorial
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modeling, process design, process optimization, and machine learning in energy, environmental, and chemical processes. During his research career, Dr. Nguyen has authored more than 20 scientific papers, with
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learners and students Mentor students in energy assessment projects to enhance their technical problem-solving skills. The learning activities may be classroom training, laboratory classes, projects or IWSP