New Methods for Meta-Genomic Analysis
University of Cambridge – Department of Chemistry
Salary: 27,183-35,469 pa
The funds for this post are available for 2 years in the first instance.
A post-doctoral position, funded by Unilever, is available to work with Professor Robert Glen on a bioinformatics project to develop and implement new methods for de-noising, clustering and analysis of meta-genomic data from bacterial populations. Recent developments in the science of meta-genomics allows the collection of very large data sets on the makeup of these communities.
We propose to develop novel high performance algorithms and to investigate the use of Graphics Processing Units (GPU’s) in the acceleration of the calculations. Applicants should have (or be about to receive) a PhD in mathematics, computer science or a related sciences, and must have experience of writing computer software and with a strong interest in algorithm development.The post is available immediately. Applications should include a CV, publications list, contact details for three professional referees, anda completed form Parts I and III (downloadable from, and should be sent to Mrs. Susan Begg, Department of Chemistry, Lensfield Road, Cambridge CB2 1EW (email: ).
Quote Reference: MA05866, Closing Date: 30 November 2009
The University values diversity and is committed to equality of opportunity.
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Tags: Bioengineering, Bioinformatics, Biostatistics, Cambridge, Computational biology, computer software, Department of Chemistry, genomics, GPU, http://www.admin.cam.ac.uk/offices/hr/forms, Inc., Lensfield Road, Mathematical biology, Meta, Meta-Genomic Analysis University of Cambridge, performance algorithms, Professor, Robert Glen, smb28@cam.ac.uk, Susan Begg, Technology_Internet, Unilever, Unilever PLC
