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Chris Williams awarded CSO grant to apply machine learning methods to intensive care unit data; RA needed

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The project will focus on the accurate identification of physiological and artifactual events, and on the utility of cleaning artifact from blood pressure data with respect to clinical practice.  The ability to correctly interpret and quantify arterial hypotension events occurring within a noisy clinical environment will lead to a step change in blood pressure management. It will enable the creation of a clinically practical testing environment for the accurate evaluation of new intensive care management strategies whether as part of a clinical audit or randomised clinical trials.

This two-year project is funded by the Chief Scientist Office (CSO) in Scotland. The PI is Prof Chris Williams (School of Informatics, University of Edinburgh). The co-investigators are Dr Ian Piper (Clinical Physics, Southern General Hospital, Glasgow), and clinicians Prof John Kinsella (University of Glasgow), Prof Peter Andrews (University of Edinburgh), and Mr Laurence Dunn (Southern General Hospital, Glasgow).

For more details, including how to apply for the RA job, see
http://homepages.inf.ed.ac.uk/ckiw/mypages/postdoc2013.html