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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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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 Research Fellow to develop high performance and
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. The candidate will collaborate closely with academic researchers and industry engineers to transform research prototypes into deployable, high-performance solutions aligned with industrial requirements. Key
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a team, to ensure proper operation and maintenance of equipment. Job Responsibilities Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related
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to design, analyse, and operate high-power and high-voltage electrical systems, ensuring safe, reliable, and compliant operation across our facilities. The candicate will work closely with the Principal
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to bridge the gap between advanced computational framework and practical medical use cases. The tools and framework developed by the RA will be meticulously adapted to meet the needs of clinicians
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and grant applications. Key Responsibilities Provide intellectual and technical leadership in bioinformatics and computational biology to support high-impact, hypothesis-driven research. Lead and
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posed by traditional compendial methods. Despite RMM having a shorter incubation period, the dependency of RMM on cells, high operator complexity and challenges in integrating process analytical
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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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