422 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Singapore
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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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on on-going research studies in the areas of community empowerment, and lower-income families in Singapore. The Research Assistant will have the opportunity to acquire critical research skills, gain field
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machine learning for real-world applications. Scalable Digital Health Solutions: Develop methodologies for reliable, long-term motion monitoring across diverse user groups and environments
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with industry research and requirements. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Electrical and Computer Engineering Employee Referral
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standards. Job Requirements Bachelor’s Degree in Sociology, Psychology, Social Work or other related fields. Able to take initiatives to learn on the job and manage assigned tasks. Prior experience in
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, willing to learn, reliable and able to manage concurrent tasks in a timely manner Preferred Proficiency in statistical analyses software (i.e. SPSS and/or R/Mplus) Proficiency with Microsoft Power Automate
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interpersonal, writing and presentation skills, with a passion for learning. Only shortlisted candidates will be contacted. Salary and benefits are commensurate with qualifications and experience. Apply now
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Building Robotics Laboratory, we develop state-of-the-art sensing, learning and control systems for energy efficient, human-centered, comfortable and healthy environments. Building Robotics lab focuses
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participate in seminars, workshops, and public engagement activities Job Requirements: Doctor of Philosophy in Communication, Psychology, Sociology, Human-Computer Interaction, or a related social science
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during the June and December school holidays. Building on the pilot phase, the programme provides structured, high-quality learning experiences during periods when youths may have limited access