[UAI] Gatsby PhD Programme

2010-10-31 Thread Peter Dayan
Gatsby Computational Neuroscience Unit, UCL 4 year PhD Programme The Gatsby Unit is a centre for theoretical neuroscience and machine learning, focusing on unsupervised, semi-supervised and reinforcement learning, neural dynamics, population coding, Bayesian and nonparametric statistics, kernel me

[UAI] Gatsby faculty recruitment

2005-11-04 Thread Peter Dayan
ry 2006. Unless otherwise requested applicants will also be considered by the Computer Science Department. Appointment at a senior level is subject to the normal senior appointments process at UCL. For further information, please see www.gatsby.ucl.ac.uk; for informal enquiries, please contact Peter

[UAI] Postdoc job in "Evidence" at UCL

2006-03-28 Thread Peter Dayan
A vacancy has arisen for a Postdoctoral Fellow to work on the project "Formal tools for handling evidence", which forms part of the interdisciplinary research programme "Evidence, Inference and Enquiry" at University College London -- see http://www.evidencescience.org This is a 2-year post, avail

[UAI] PhD studentship at Queen's University Belfast

2006-08-03 Thread Peter Dayan
Ph.D. studentship: "The World of Uncertainty" The World of Uncertainty will be an educational computer game. In it decision-makers will learn how to manage scientific uncertainty. They will practice until they are as good as a bookmaker. Currently there is a big gap in understanding between those

[UAI] Gatsby PhD Programme

2006-10-14 Thread Peter Dayan
Gatsby Computational Neuroscience Unit 4 year PhD Programme The Gatsby Unit is a world-class centre for theoretical neuroscience and machine learning, focusing on unsupervised, semi-supervised and reinforcement learning, neural dynamics, population coding, Bayesian and nonparametric statistics and

[UAI] Gatsby PhD Programme

2007-11-19 Thread Peter Dayan
Gatsby Computational Neuroscience Unit, UCL 4 year PhD Programme The Gatsby Unit is a centre for theoretical neuroscience and machine learning, focusing on unsupervised, semi-supervised and reinforcement learning, neural dynamics, population coding, Bayesian and nonparametric statistics and applic