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Research Associate - Deep Learning/Image Processing (Fixed Term)

Closing date: 
Thursday, 3 March 2022

Department of Psychiatry

This postdoctoral ("research associate") position is to work in Professor John Suckling group, Department of Psychiatry, together with Professor 'Lio's group in Computer Science and Technology. Both the Suckling and 'Lio groups have a proven track record and ongoing research programme in developing and applying new methods in medical image analysis.

The project involves the development of deep learning methods to identify and classify brain folding patterns using human brain imaging data. The role is part of a wider collaborative project investigating optimal measurement of brain folding, its genetic determinants and psychiatric consequences. The research is funded by UKRI (Medical Research Council).

The ideal post-holder will have a PhD (or be close to completing a PhD) and background in computer science, engineering, medical physics or related discipline. Experience of the development and application of deep learning methods (or other machine learning tools) to image analysis would be advantageous. The post will be appointed at the appropriate point on the University of Cambridge's research associate salary scale, depending on the seniority of the successful candidate.

https://www.jobs.cam.ac.uk/job/33561/

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The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
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