133 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" research jobs at National University of Singapore
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characterization of integrated memristor devices and systems. • Develop algorithms and system-level integration strategies to harness the capabilities of AI accelerator for machine learning and deep learning
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experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially in the context
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for machine learning and artificial intelligence, with a strong emphasis on developing and applying models such as LSTM and other time-series analyses to predict the longevity and behaviour of bioactive
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experience with machine learning is a plus. Recruitment is open immediately and will continue until the position is filled. Applicants should send a brief statement of interest, CV, three named references, and
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Sciences, Biostatistics, Data Science, preferably with relevant experience. Prior experience with machine learning is a plus. Recruitment is open immediately and will continue until the position is filled
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transformation for analytics and machine-learning models. Ensure scalability, security, version control, and documentation of all systems. Build and maintain RESTful APIs or equivalent for interfacing with other
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Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based
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reactions, or transport mechanisms. • Experience in data-driven modeling or machine learning applied to membrane materials or separation performance analysis is a strong advantage. • Candidates with strong
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for Quantum Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices
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into heat health research are strongly encouraged to apply as well). Experience in statistics, data analysis and visualisation software (e.g. SPSS, Power BI), and computer applications (e.g. Microsoft Office