Seminar 26 Sept: Modelling rate of decline (slope) of a biomarker as a quantitative genetic trait using mixed effects models: application to loss of renal function (GFR) in type 1 diabetes
Weldon Chair/Readership in Computational and Statistical Genetics
Deadline: 13 Feb 2015
University College London is expanding research into computational and statistical genetics as a central component of its scientific strategy. We seek to appoint a scientist to the Weldon Chair/Readership in Computational and Statistical Genetics to be held in the UCL Genetics Institute. The successful candidate will have an international reputation in their field and will provide leadership in exploiting the continued expansion of human “-omic” data across UCL. The postholder’s research is expected to involve computational methods development and may also focus on disease areas in which UCL has exceptional research strength including neurology, cancer, rare childhood diseases and cardiovascular diseases among others. The successful applicant will demonstrate capability for teaching in order to contribute to UCL's portfolios of graduate and undergraduate teaching.
The UCL Genetics Institute (UGI) is a cross-faculty institution with a mission to develop and apply advanced statistical and computational methods to the study of genetics, human biology and evolution, and human disease. Colleagues within UGI include Professors Nick Wood, Steve Humphries, Gudrun Moore, Francois Balloux, Nick Luscombe and Dr Vincent Plagnol.
The post is available from October 2015 onward. Interviews are scheduled for 16-17 and 28-29 April 2015.
For further details and to apply visit UCL Jobs
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