Research Associate in Histology Reconstruction

University College London - UCL Medical Physics and Biomedical Engineering

This project aims to construct a next-generation computational atlas of the human brain using ex vivo samples (histology, ex vivo MRI), along with companion tools that apply the atlas to the automated segmentation of in vivo scans in neuroimaging studies.

The post-holder will develop automated or semi-automated methods for the reconstruction of the histological data, by taking advantage of heterogeneous sources of information (e.g., existing lower-resolution probabilistic atlases, manual segmentation, MRI scans).

The post is funded for two years in the first instance.

Applicants should have a PhD or equivalent research experience in biomedical analysis; and should have an Upper Second Honour Degree in Computer Science, Engineering or a comparable subject.

For further information, please refer to the job description and person specification at the bottom of this page.

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below.

For informal queries about the post or project please contact Dr Juan Eugenio Iglesias For any queries about the application process please contact Alexandra Ferrell

Closing Date: 15 September 2017

Latest time for the submission of applications: 23.59.

Interview Date: TBC

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