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technologies are applying their discoveries in computing, communications, and sensing. CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science
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innovative computational methods to analyse large-scale multi-omic datasets, identify mutational patterns across cancer genomes, and build predictive models that improve our understanding of tumour
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coastal and ocean wave modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can predict storm surges in Singapore coastlines
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model accuracy, efficiency, parameterisation, uncertainty quantification, and/or surrogate modelling. The research may involve the use of observational, experimental, or high-fidelity numerical data to
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modelling blue carbon dynamics in Singapore (BlueCarbonSG 2.0)”. The Research Fellow will develop physical and numerical models to quantify how hydrodynamic forcing influences sediment transport, sediment
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, nano- and micro- fabrication, and computing. We are seeking a highly motivated Postdoctoral Research Fellow in the Vascular Mechano-medicine Lab of Dr. Shailaja Seetharaman at the MBI and Department
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• Experimental characterization of material response • Modelling of rock mass and rock rubbles under hypervelocity impact loading • Perform numerical parametric studies and develop design
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methods. Analyse large-scale MRI datasets and evaluate algorithm performance. Qualifications & Skills Education: PhD degree in Computer Science, Artificial Intelligence, Biomedical Engineering, Medical
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antifouling applications on marine hull structures. Biofouling background is advantageous. Conduct advanced numerical simulations using ANSYS or equivalent FEM tools to model surface acoustic wave propagation
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development, or scientific computing is advantageous. Strong analytical, problem-solving, and quantitative skills. Ability to learn new methods and tools independently. Good written and verbal