The post is for 1 x early stage researcher (ESR) who will undertake a three year PhD studentship as part of the EU funded Marie Curie Innovative Training Network HELICAL (HEalth Data LInkage for ClinicAL benefit), co-ordinated by Professor Mark Little, School of Medicine, Trinity College Dublin. The ESR will be based in the School of Computer Science and Statistics, Trinity College Dublin and will be supervised by Dr. Jason Wyse (Statistics). The HELICAL network has 17 Academic Partners and nine Non-Academic Partners.
The project is entitled "Models for autoimmune disease flare prediction harnessing both clinical and environmental data sources". Using registry data available through the HELICAL consortium, the successful applicant will develop predictive models of disease flare episodes in vasculitis, a rare autoimmune disease. There are vast amounts of environmental and clinical data variables which could have potential use in flare prediction. As well as environmental measurements, model building will incorporate clinical data, particularly disease biomarkers and drug treatments, and will involve close interactions with HELICAL clinicians to incorporate clinical experience through Bayesian approaches. Relevant keywords relating to this project: rare event prediction, large p small n, variable selection, model determination.
See https://euraxess.ec.europa.eu/jobs/377575 for more details on eligibility criteria and how to apply. Closing date for applications is 26 February 2019.
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