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requirements PhD in Physics, Applied Mathematics, Computational Science, or a related field Strong background in machine learning, particularly in the development and application of neural networks
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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for accurate localization and tracking of 5G network User Equipment (UE) in urban environments. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Study 5G protocol and implementation
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spatiotemporal systems by combining physics-driven baselines with data-driven correctors. Formulate and solve inverse problems using Physics-Informed Neural Networks and relevant methodologies. Conduct rigorous
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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profiles using energy modelling tools • Build thermo-fluid dynamic models of HVAC and district cooling networks • Propose improved system architectures and network efficiency strategies • Design and validate
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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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appropriate. Job Requirements: PhD in Artificial Intelligence, Computer Science, Data Science, Psychology, Public Health, Biomedical Engineering, or related discipline. Evidence of productive history working 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
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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