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) at Duke-NUS Medical School is seeking a Research Fellow to support the ongoing “Future Health Technologies” (FHT1) research programme. FHT1 is dedicated to developing innovative, scalable digital solutions
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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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system performance in physiologically relevant settings. Explore and implement AI/ML tools for system optimization, data-driven control, or high-throughput analysis. Contribute to publications, IP filings
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experience in first-principles simulations such as DFT. The candidate should be proficient in using DFT software packages (e.g., VASP, Quantum ESPRESSO), high-performance computing, and Python-based workflow
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tools for High-Performance Computing (HPC) applications. Qualifications/Requirements Qualifications / Discipline: - PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial
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cutting-edge research in computational X-ray photonics. The research fellow will assist in the development of novel theoretical numerical framework pertaining the generation of compact, high quality X-rays
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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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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Job Description Job Alerts Link Apply now Job Title: Research Fellow (OR/EID/NLB) Posting Start Date: 24/06/2025 Job Description: Job Description The Signature Research Programme in Emerging
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. Collaborate with a multidisciplinary team to ensure seamless operation of perception and control systems. Conduct experiments in real-world and simulated environments, with a focus on high-speed performance