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technologies required to make biology predictive; establish mathematical whole cell models for in silico biology as a powerful complement to traditional in vivo and in vitro approaches; tackle fundamental
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the mathematics and computational technologies required to make biology predictive; establish mathematical whole cell models for in silico biology as a powerful complement to traditional in vivo and in vitro
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the mathematics and computational technologies required to make biology predictive; establish mathematical whole cell models for in silico biology as a powerful complement to traditional in vivo and in vitro
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postdoctoral research fellow in Applied Mathematics. The position supports research in computational mathematics and mathematical biology, led by Professor Matthew Simpson, through an Australian Research Council