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COVID-19

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The mathematical tools needed to understand and predict the COVID-19 epidemic run the gamut from differential equations and large simulations, with methods coming from statistics and applied mathematics.

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Biological Invaders

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Biological invaders are one of the key drivers of ecosystem change. Therefore, it’s imperative to understand the effect of invaders if we wish to preserve local ecosystems.

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Neural Networks

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The abundance of data created in science, engineering, business, and everyday human activity is simply staggering. This data is often complex and high-dimensional, taking the form of video or time-dependent sensor data

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Cellular Biology

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The basic driving forces of evolution, mutation and selection, are often difficult to observe and study in the laboratory .

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