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Academic

From: Alberto Paccanaro
Date: 09 Apr 2008
Subject: Postdoc in ML and Computational Biology at Royal Holloway U. of London

Applications are invited for one postdoctoral position at the Department of Computer Science of Royal Holloway, University of London.

The successful candidate will work with Alberto Paccanaro on developing novel approaches to protein function prediction. Candidates should have a PhD in a relevant quantitative field (e.g. Computer Science, Statistics, Engineering), and a strong background in machine learning. An interest in graph-based semi-supervised learning methods and computational biology would be an asset for this position.

The successful candidate will have the opportunity to collaborate with members of the interdisciplinary Synthetic and Systems Biology Group (Computer Science and Biological Sciences at Royal Holloway) including: Laci Bogre, Alessandra Devoto, Peter Bramley, Paul Fraser, Enrique Lopez and Paul Devlin. The post is therefore ideal for someone with a computer science or maths background who is looking to move into computational biology.

The Department of Computer Science at Royal Holloway has a leading position in the study of theory and practice of machine learning and in particular the development of the Support Vector learning technique and other kernel-based techniques. It is located on Royal Holloway's pleasant campus in Egham, close to London. Information on the Department may be found at www.cs.rhul.ac.uk.

The position is for three years, full-time, starting in the late Spring or Summer 2008. The starting salary for the post is up to 33,047 GBP per annum (about 65,500 USD), inclusive of London Allowance.

The position is funded by the BBSRC project "Development of a graph-theoretic approach to predict protein function by integrating large scale heterogeneous data", led by Alberto Paccanaro.

Informal enquiries may be directed to Alberto Paccanaro (email: alberto@cs.rhul.ac.uk; URL: http://www.cs.rhul.ac.uk/home/alberto ; tel: +44 (0)1784 414239 ).

Further details and an application form are available at http://www.rhul.ac.uk/Personnel/Ads/CompScie4949.html or from the Personnel Department, Royal Holloway, University of London, Egham, Surrey TW20 0EX; tel: +44 (0)1784 414241; fax: +44 (0)1784 274900.

Please quote the reference KB/4949

The closing date for the receipt of applications is May 8, 2008.

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