349 computer-programmer-"U.S"-"University-of-St"-"U.S" Fellowship positions in Singapore
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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. Publish high-quality research in top-tier conferences and journals. Job Requirement: Ph.D. in Computer Science, Robotics, or a related field. Expertise in machine learning and safe navigation algorithms
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tutorials. Assist in mentoring and guiding students in projects and competitions. Job Requirements: MSc/Meng (Research Associate) or PhD (Research Fellow) in Electrical Engineering, Computer Science, or other
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evidence-driven policy development in Singapore • Initiate and lead research programmes that build on empirical data collection to develop evidence-based recommendations that address pertinent policy
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involving speech/audio, images, and video along with text-based applications. Job Requirements: MSc (Research Associate) or PhD (Research Fellow) in Electrical Engineering, Computer Science, Statistics
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facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing. We are seeking to recruit a highly motivated and talented Postdoctoral Research Fellow
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Electrolyser systems) Posting Start Date: 27/06/2025 Job Description: Job Description Research Fellow position in the Department of Materials Science and Engineering at National University of Singapore (NUS). With a strong...
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equipment • Conduct wind tunnel/water experiments • Conduct computational fluid dynamics (CFD) simulations • Analyze experimental and simulation data and summarize key findings and observations
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Title: Fusion Science for Clean Energy: Gamma-ray Spectroscopy diagnostic for WEST Project Introduction: As part of our Fusion Science for Clean Energy programme at Nanyang Technological University
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. Lead and execute independent investigations, ensuring accurate interpretation of experimental data and effective communication of key findings. Plan, implement, and refine experimental methodologies