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Hello List,

Here's a research post which hopefully may be of interest to some of you. I should
add that the methodological areas of interest to date are primarily segmentation and linear
and non-linear registration. Detection and quantification of atrophy is the primary
application area. We are physically located next door to the FIL and have
been involved in a small recent collaboration on VBM which is a technique we may
exploit in the future. If anyone is interested feel free to contact me to discuss the post
informally in the first instance - Email is probably easiest.

Thanks

Bill Crum
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University College London
Institute of Neurology
Dementia Research Group
Postdoctoral Research Fellow
MR Image Analysis

Applications are invited for this post in the Dementia Research Group developing
methods for analysing brain MR images. The post involves active collaboration
with neurologists and radiologists to address problems of clinical relevance in
dementia. Applicants must have strong programming and image processing
skills including experience of using C in a UNIX environment; knowledge of
X-Windows, Motif and Solaris and experience of medical image analysis
preferred. Excellent resources are available including unique patient groups and
image analysis software and methodologies. The postholder will be actively
involved in developing new image-analysis methodologies and will supervise
research assistants working on related projects. The post, funded from a 
five-year MRC programme grant is available from January 2001 for one year in
the first instance. Starting salary on the RAII scale in the range £25,390-£28,350 pa
inclusive, superannuable. Applications in the form of 5 copies of your full CV
with the names of 8 referees by Monday 11th December 2000 to Shona Inkster,
Unit Administrator, Dementia Research Group, Institute of Neurology, The National
Hospital for Neurology and Neurosurgery, Queen Square London WC1N 3BG. A job
description is available on-line at www.dementia.ion.ucl.ac.uk or alternatively
telephone 020 7837 3611 x4136.
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