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Generation and prediction of interfaces between two crystals.

Project design for monitoring and analysis the coronavirus outbreak trend across the countries By Herman Aguirre PhD Researcher at University of Exeter, UK.

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Scripts from the sessions of the Introduction to R workshop 2019 at the University of Exeter.

Selection of streamlined codes used in `Predicting critical ignition in slow-fast excitable models'

Repository for the scripts using in the data analyses in the paper 'A zebrafish model of clozapine exposure: drug-induced transcriptomic changes in the brain'

A place to put data for students that is accessible over the internet

Exeter University ED demand forecasting work.

Dialysis service delivery simulation modelling to support decision making during the COVID19 pandemic

Modify the web site to make it better.

Public release of ARTEMIS; the code that generates and predicts interfaces between two crystals.