Title
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Postdoctoral position in Machine Learning and Computational Biology
Position
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Applications are invited for a postdoctoral position at the Department of Computer Science of Royal Holloway, University of London.
Description of job and requirements
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The successful candidate will work with Prof Alberto Paccanaro on different projects in the area of Systems Biology and Network Medicine -- please see http://www.paccanarolab.org/ for a description of the research carried out in the lab. Candidates should have a PhD degree in a relevant quantitative field (e.g. Computer Science, Statistics, Engineering), a strong background in machine learning and a keen interest in computational biology. Previous experience in the area of graphical models would be an asset for this position.
The successful candidate will have the opportunity to collaborate with members of the interdisciplinary Centre for Systems and Synthetic Biology (Computer Science and Biological Sciences) at Royal Holloway and collaborators at Imperial College, University of Tennessee and Yale University. The post is therefore ideal for someone with a computer science or maths background who is looking to move into computational biology.
Location of the position
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This post is based in the Department of Computer Science in Egham, Surrey where the College is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from London (see http://www.royalholloway.ac.
Duration
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This is a full time post, available immediately, or as soon as possible thereafter for a fixed term period of 30 months.
Salary
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The salary is in the range £33,789 to £39,902 per annum inclusive of London Allowance.
The position is funded by a joint BBSRC/NSF grant.
To apply go to: https://jobs.royalholloway.ac.
Contact for correspondence
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For an informal discussion about the post, please contact Prof Alberto Paccanaro, alb...@cs.rhul.ac.uk.
The Human Resources Department can be contacted with queries by email at: recru...@rhul.ac.uk.
Please quote the reference: 0316-094.
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Closing Date: Midnight, 10th April 2016.
Interview Date: To be confirmed.
The College is committed to equality and diversity, and encourages applications from all sections of the community.
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