(Full details at http://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI1278)

Applications are invited for a fully-funded PhD studentship to be held jointly 
at the School of Computer Science, University of Nottingham and The Diamond 
Light Source, the UK's national synchrotron facility at Harwell, Oxfordshire. 
Diamond generates brilliant beams of light from infra-red to X-rays which are 
used to acquire images at extremely high resolutions: imaging of sub-cellular 
components of biological objects is a key application of the Diamond facility. 
Analysis of such images requires cell components to be identified and accurate, 
quantitative descriptions of their properties (shape, size, position, etc) 
recovered from the image. The very high spatial and grey-level resolution of 
synchrotron images means that very fine details (of e.g. mitochondria) are 
visible - organelles do not appear as simple, evenly coloured regions but as 
highly variable, textured areas. This PhD project seeks to develop automatic 
image analysis methods and software tools that can extract quantitative 
measurements of sub-cellular objects from Diamond Light images. The successful 
student will work closely with research staff and potential users at both 
Nottingham and Diamond.
 
Students should have a good first degree (preferably at the level of a 
first-class degree in the UK context) in Computer Science or a related 
discipline. Previous experience of image analysis, computer vision or 
biological science are an advantage, but not essential. 
 
Informal enquiries may be addressed to:
 Dr Andrew French: andrew.p.french @ nottingham.ac.uk
 Dr Mark Basham: Mark.Basham @ diamond.ac.uk
 Dr Tony Pridmore: tony.pridmore @ nottingham.ac.uk
 
Details on how to apply are on the website. 

Alun Ashton
___________________________________________________________
Alun Ashton, alun.ash...@diamond.ac.uk Tel: +44 1235 778404
Group Leader - Data Analysis Software,    www.diamond.ac.uk 
Diamond Light Source, Chilton, Didcot, Oxon, OX11 0DE, U.K.





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