Research Fellow (Statistician, Machine Learner)
£29,704 - £35,469
A research post is available immediately at the University of Edinburgh
for a Bayesian statistician/computer scientist to work on developing
statistical methods for genetic epidemiology. The object is to develop
methods for modelling the joint effects of genotype and environment and
inferring causal relationships, using tools such as Markov chain Monte
Carlo simulation, variational Bayes approximations, and Dirichlet
process models.
The post would suit an individual at post-doctoral level with experience
of developing Bayesian probabilistic methods for modelling and
inference. Previous experience in statistical genetics or bioinformatics
is not an essential requirement: experience in developing and applying
probabilistic methods in other fields such as statistics, computer
science, bioinformatics and statistical physics would be just as
valuable. The post is funded by the Medical Research Council for three
years in the first instance.
Interested applicants can contact Paul McKeigue ([log in to unmask]) or
Amos Storkey ([log in to unmask]) for further details.
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The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
Professor M.A. Girolami F.I.E.T
EPSRC Advanced Research Fellow
Department of Computing Science
Sir Alwyn Williams Building, Room 302
University of Glasgow
Glasgow, G12 8QQ
Scotland UK
Tel : +44 (0)141 330 1623
Fax: +44 (0)141 330 2673
email : [log in to unmask]
web: http://www.dcs.gla.ac.uk/~girolami
web: http://www.dcs.gla.ac.uk/inference
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