318 engineering-computation "https:" "https:" "https:" "https:" positions in Singapore
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11 Mar 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) First Stage
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encouraged to apply. Requirements for each position include, but are not limited to: • Ability to develop and sustain an active and impactful research programme in Building Science, Technology, and
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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3 Mar 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Engineering Computer science Researcher Profile Recognised Researcher (R2) First Stage
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work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg/cee We are looking for a Research Associate to join a
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Engineer for supporting the development, testing
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10 Mar 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Management sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new
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(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 based on quantum
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an emphasis on technology, data science and the humanities. The Data Science and Artificial Intelligence programme of LKCMedicine is a cross cutting programme that aims to bridge the gap between data science