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for highly talented and motivated candidates to work on developing closed loop robotics hardware and software. Together with a multi-disciplinary team of electronics/electrical engineers, you will be part of
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, and biomedical engineering. The candidate will be responsible for designing electrically conductive materials and device for in vivo delivery and extraction of biomolecules. The candidate will also need
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of Materials Science and Engineering at National University of Singapore (NUS). With a strong focus on industrial projects, we are developing our exciting technologies beyond the lab scale. As a Research Fellow
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manuscripts Qualifications Ph.D. degree (completed or soon to be completed) in Physics, Applied Physics, Material Science and Engineering, Electrical Engineering, or other relevant areas Knowledge in nonlinear
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in Neuropsychiatric Disorders Laboratory (MNNDL), Centre for Sleep and Cognition and Centre for Translational Magnetic Resonance , Yong Loo Lin School of Medicine, and Department of Electrical and
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application for a research fellow position is welcome. The selected candidate will work closely with the professor(s) at the Department of Industrial Systems Engineering and Management (ISEM), National
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Research Programme (TRP) at the National University of Singapore, Yong Loo Lin School of Medicine. The Synthetic Biology TRP focuses on developing novel genome editing tools by engineering CRISPR systems
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optimizing fabrication and testing processes for new devices. Qualifications PhD degree in Electrical Engineering, Materials Science, Mechanical Engineering, Biomedical Engineering, or a related field with
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. Additionally, direct interaction with suppliers is part of the job as well as preparing manuscripts and presenting work at conferences. Qualifications • Possess a PhD in Electrical Engineering • Experience
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of Medicine. The Synthetic Biology TRP focuses on developing novel genome editing tools by engineering CRISPR systems, enhancing their function through fusion with other enzymes, and applying high-throughput