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In this project we use the Approximate Bayesian Computation - Markov Chain Monte Carlo algorithm to identify parameters of a SLiM model to explain our data
set of the observed site-frequency spectrum.

Astronomy is experiencing a rapid growth in complexity and data size. The difficulty in analysing data
fosters the development of data-driven science as a useful companion where astronomers develop tools
to mine datasets and extract novel…

One major problem faced by engineers developing jet engines is adhering to stringent aircraft noise regulations. Engines need to be designed to minimise as much noise as possible. To solve such a problem, one cannot find the optimum conditions with…