442 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" research jobs in Singapore
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). The ideal candidate brings a strong machine learning foundation, curiosity about sound and music computing, and enthusiasm for collaborating with PhD students and postdocs. You will help combine individual
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, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault
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students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description The candidate will work on analytical aspects of quantum information theory, e.g
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includes eligibility for annual performance bonus and salary increment and medical benefits. Successful candidates are expected to teach graduate and undergraduate classes and take a leading role in
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of servers and assistance in network setup in a testbed building. Data collection from BMS and thermal and occupancy sensors, and machine learning based analysis. Daily system maintenance for the servers and
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analytics and machine learning techniques. Familiar with software implementation. Good written and oral communication skills. Interpersonal skill (e.g. Ability to work independently / develop solutions under
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. Publication of research papers and IPs. To assist project PI to coach research students. Job Requirements: A Bachelor’s degree in relevant fields with past experience in embedded system, machine learning and
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in the 2025 QS World University Rankings by Subjects. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Postdoctoral Fellow to advance cutting-edge research in the security
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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@ NUS (https://engbio.syncti.org ) specializes in Synthetic Biology in which we engineer microbes with useful capabilities for medical and industrial applications and we are part of SynCTI at NUS (https