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Hub has adopted a new higher education model based upon the concept of Syntegrative Education (SE). SE is a model developed by the University to address an increasingly networked and complex future
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simulations of PDEs, deep learning, neural networks. Our research interest: Our focus is on theoretical and computational biological physics, ranging from the study of molecules to cells. We strive to leverage
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education model based upon the concept of Syntegrative Education (SE). SE is a new model developed by the University to address an increasingly networked and complex future of work in the 4th Industrial
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education model based upon the concept of Syntegrative Education (SE). SE is a new model developed by the University to address an increasingly networked and complex future of work in the 4th Industrial
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to, Dynamical Systems, Bifurcation Analysis, Complex Networks, Optimization, Mathematical Biology, Biostatistics, Mathematical Epidemiology, Computational Biology, Bioinformatics, P robability Theory, Stochastic
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to address an increasingly networked and complex future of work in the 4th Industrial Revolution. The model is core to the University’s strategy for its next ten-year development focusing on innovation and
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the concept of Syntegrative Education (SE). SE is a new model developed by the University to address an increasingly networked and complex future of work in the 4th Industrial Revolution. The model is core