We seek PhD candidates for the project "Data-driven null models for big data networks", supervised by Dr Mark Humphries at the University of Manchester. We are developing network theory approaches to analysing data in systems neuroscience (Humphries, 2017, https://doi.org/10.1101/115485 ). The aim of this PhD project is to develop an analysis framework for separating signal from noise in data-driven networks. We will develop new, flexible data-driven null models for network structure - models that will predict noise. Using these models, we will create powerful ways of extracting the signal network from observed data. With these signal networks, we will then explore how they change the conclusions we can draw from our observed data, what large-scale structures they uncover in the networks, and how they can track changes to networks over time. Applications will be assessed on a rolling basis, so please apply as soon as possible. This studentship is MRC-funded, so only open to UK and EU students. More information, and how to apply: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=78216&LID=1020 Questions: mark.humphries@manchester.ac.uk<mailto:mark.humphries@manchester.ac.uk> Our lab: http://www.systemsneurophysiologylab.manchester.ac.uk/ _____________________________________________________________________________ Dr Mark Humphries | MRC Senior non-Clinical Research Fellow | Faculty of Biology, Medicine & Health http://www.systemsneurophysiologylab.manchester.ac.uk/ [0da17e2a-9ed5-496a-b161-9fd4491ce5c7]@markdhumphries <https://twitter.com/markdhumphries> Public blog: https://medium.com/the-spike
