126 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship positions at National University of Singapore
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of extension. We are seeking a Research Fellow who will play a key role in driving the development, execution and analysis of research that leverage on technology and data science to address the challenges
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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 invite applications for the position of Senior Research Fellow / Research Fellow as part of a multidisciplinary research programme funded by the National Research Foundation (NRF) and the Singapore Food
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culture assays to assess cell–material interactions. Integrate experimental and computational workflows; analyse, document, and report results. Prepare scientific manuscripts and grant proposals
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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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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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dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing. We are seeking a Research Fellow with expertise in transmission electron microscopy (TEM
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invites applications for a Research Fellow position in the field of battery fire modelling and safety. The successful candidate will join an interdisciplinary research team working on advanced computational
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for Quantum Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices
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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