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Position
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School of Computing, The Robert Gordon University,
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Description
Applications are invited for the position of Research Fellow/Assistant on an EPSRC funded project entitled "Efficient Biological Grammar Acquisition". The post will be for 4 - 6 months. The project is based in the Computing Technologies Centre (a recent 1.5 million pounds, purpose-designed SRIF-funded research centre) in the School of Computing at the Robert Gordon University, Aberdeen. The industrial collaborator on the project will be GlaxoSmithKline, one of the world's leading research-based pharmaceutical and healthcare companies. Linguistic methods have provided some interesting results in the recognition of complex biological signals. However the hand development of grammars is difficult and, because it requires human expertise, expensive. Thus, given the enormous volume of data arising from genome projects, there is a need to automate the acquisition of grammars from sets of biological sequences. This project addresses the need for efficient methods of acquiring such grammars using Inductive Logic Programming (ILP). You should have a good honours degree in Computing or a cognate discipline and some experience of bioinformatics research; or you may have a background in the life sciences and have an advanced MSc in Computing or a cognate discipline. Preferably you will have a PhD in Machine Learning or Bioinformatics or equivalent experience, as demonstrated by a good publication record. Experience of ILP, Prolog, grammars or building a web interface would be an advantage. A good communicator and programmer, you will bring an enthusiastic and organised approach to this challenging position. Informal enquiries to: Dr Chris Bryant Tel: +44 (0)1224 262747 Starting Salary: 20,044 - 30,002 GBP Closing Date: 21 April 2006
Contact address
Further particulars and an application form are available from: Human Resources Department, The Robert Gordon University, Schoolhill, Aberdeen, AB10 1FR. Tel: +44 (0)1224 262085 E-mail: jobs@rgu.ac.uk You can apply on-line at: http://www.rgu.ac.uk/jobs/
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