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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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School of Mathematical Sciences, Faculty of Science, Academic Division. We are seeking to appoint an applied mathematician or statistician with research interests in mathematical biology or a closely