404 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Singapore
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accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for machine learning and AI acceleration. Perform performance, power, and area
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synthetic biology, engineering of biology, to join our group at National University of Singapore for the engineering of microbes as biosensors for environmental pathogens detection. Our group @ NUS (https
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work environment Learn more about CQT at https://www.cqt.sg/ Job Description A postdoctoral research fellow position on the topic of quantum error correction is available in the group of Associate
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independently and as part of a team Experience with machine learning and AI applications in engineering is advantageous We regret to inform that only shortlisted candidates will be notified. Hiring Institution
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staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the
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third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Fellow to work on the catalysis for CO2 related
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work environment Learn more about CQT at https://www.cqt.sg/ Job Description We have openings for talented early-career scientists who are ready to take up a leadership role in our group and to spearhead
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about the Singapore English Mental Lexicon project is available at https://langcomplab.github.io/singlish.html Information about the department is available at: https://fass.nus.edu.sg/psy
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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low