143 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship positions at National University of Singapore
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Single Cell Technology, iHealthtech) Posting Start Date: 07/11/2025 Job Description: Job Description At iHealthtech, we envision
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based on performance and funding availability. Review of applications will begin immediately and continue until the position is filled. Qualifications • PhD Degree in Electrical and Computer Engineering
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Research Fellow to join our research programme on light-driven microrobots for biomedical applications. The successful candidate will contribute to the design, fabrication, characterization, and control
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about our research interests and goals at https://Singaporebrainhealth.org. The Principal Investigator prioritizes teaching (e.g., meets with team members regularly), rigorous methodology, and active
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agencies. Qualifications • PhD in Robotics, Mechanical Engineering, Mechatronics, Computer Vision, or a closely related field. • Strong expertise in robot design and at least one of
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to open-source and/or standards-oriented outputs. • Mentor students and support group research activities. Qualifications Required qualifications • PhD in Computer Science, Electrical Engineering
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motivated Research Fellow to join our programme on magnetic-driven cell microrobots for biomedical applications. The successful candidate will contribute to the development of miniature robotic platforms
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research proposals and reports. Job Requirements Possess a PhD degree obtained in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines
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of the Built Environment, College of Design and Engineering, National University of Singapore. Key Responsibilities • Develop and implement control strategies for energy-efficient operation of building
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multidisciplinary research programme focused on developing advanced AI-driven methods for neuroimaging, digital phenotyping, and population brain health. This programme brings together expertise in artificial