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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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                biological molecules for optical detection. Key Responsibilities: Design, conduct, and analyze experiments related to chiral materials or optoelectronic devices. Perform high-quality research and disseminate 
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                invites applications for a Research Fellow in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of 
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                demonstrated expertise in real-world robotic applications. • Extensive experience in sum-of-squares (SOS) algorithm, hands-on experience in developing high-performance optimization solvers for robotics 
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                with a multidisciplinary team to advance the field of embodied intelligence. Publish high-quality research in top-tier conferences and journals. Qualifications: Ph.D. in Computer Science, Robotics, AI 
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                skin delivery and diagnostics Perform high-quality research and disseminate findings through peer-reviewed publications and academic conferences. Initiate new collaborations with external stakeholders 
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                develop high performance ReRAM devices. To carry out physical vapour deposition (PVD) of ReRAM structures 300 mm wafer using ULVAC Entron system. To coordinate with circuit designer and semiconductor 
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                to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and 
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                Deadline 1 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position 
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                : Two-Sample Test for High-Dimensional Covariance Matrices [RI 4/22 ZTM] Project Introduction: With the rapid development in data collection and storage techniques, vast amounts of information