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

Digital Corpus of Sanskrit for Cylleneus

Exeter University ED demand forecasting work.

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

This Python project contains useful functions to compute some of the Early Warning Signals for a regime shift, such as lag-1 autocorrelation and variance.

NOTE: This location has been archived and the project has been relocated to:

https://gitlab.com/exeter-zebrafish-research/zebrafish-neuroanalyser3d.

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

Code supporting Castanho et al., 2020 (Cell Reports)

Repo for "Treating Equals Unequally: Incentives in Teams, Workers’ Motivation, and Production Technology" oTree public goods game

Generation and prediction of interfaces between two crystals.

Variant detection pipeline for short read NGS sequencing

This repository contains code for simulation a simple 5D conductance-based mathematical model of a spiking interneuron.

Also included are figures and supporting documentation.

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