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Computational Fluids Dynamics (CFD); • Well informed and knowledgeable in urban climate modelling; • Experienced in using environmental simulation tools, such as UrbanMicroclimateFoam, OpenFOAM, WRF/PALM or other
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data analytics. Develop and refine methodologies and testing protocols for lab. Perform materials characterization for thin films. Conduct computer simulations with softwares such as ANSYS/COMSOL. Work
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research program aimed at developing a better understanding of how aging beliefs and mortality expectations may influence economic decision-making among individuals and households. The Principal Investigator
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to critic, test-bed and facilitate large-scale, community-based service innovations through a variety of methods including programme evaluation and social analytics The Research Fellow will join a dynamic
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development and deployment for pilot human studies. 6. Perform other duties as assigned. Requirements 1. Ph.D. in Mechanical Engineering, Materials Science, Biomedical Engineering, Computer Science or a related
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, or related fields majoring in Computational Fluids Dynamics (CFD); • Well informed and knowledgeable in urban climate modelling; • Highly experienced in using environmental simulation tools, such as
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well as health of the elderly. The projects are part of a large 5-year research program (2024-2028) which has collaborators in Singapore and the United States. The Principal Investigator of this project is located
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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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equipment • Conduct wind tunnel/water experiments • Conduct computational fluid dynamics (CFD) simulations • Analyze experimental and simulation data and summarize key findings and observations
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preparedness for effective disease outbreak management programme. Qualifications · PhD in Medical/Clinical Laboratory Science, Biomedical Sciences, Virology or equivalent degree. · Minimum 3 years’ postdoctoral