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model reliability and predictive confidence Publish high-quality scientific results in Tier-1 journals Job Requirements: A PhD degree in Mathematics, Computer Sciences, or related areas, with focus
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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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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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interest or experience in RNA therapeutics and high-throughput innovation. Enthusiasm for interdisciplinary collaboration, particularly with computational team members focused on AI model development
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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Schaeffler Hub for Advanced Research at NTU is a collaborative research center between Nanyang Technological University and Schaeffler Group. The Schaeffler SHARE program comprises a global research
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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Engineering, Mechatronics, etc. Strong background in end-to-end autonomous driving, foundation models and reinforcement learning. Candidates having relevant research or working experience in autonomous driving