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Position: Research Fellow in Medical Image Computing: Segmentation and deep learning for quantitative MRI data
Institution: University College London
Department: Department of Computer Science
Location: London, United Kingdom
Duties: The Research Fellow will be responsible for carrying out research in bone data extraction and segmentation from mixed tissue data sets of multi-parametric quantitative bone MRI, and advanced AI analysis of bone pathology to develop thresholds of disease and clinical presentational models. They will also be involved in data analysis, computational and statistical modelling, medical imaging and software development
Requirements: The successful candidate will hold a PhD in Physics/Math/Imaging Science, they should also have extensive knowledge of research techniques and methodologies. An ability to analyse and write up data is essential as is the ability to present complex information effectively to a range of audiences. Experience of programming in MATLAB, Python or similar is essential
   
Text: Research Fellow in Medical Image Computing: Segmentation and deep learning for quantitative MRI data, - Ref:1767702 Click here to go back to search results Apply Now UCL Department / Division Department of Computer Science Specific unit / Sub department The Centre for Medical Image Computing Location of position London Grade 7 Hours Full Time (Job share considered) Salary (inclusive of London allowance) ?35,328 - ?42,701 per annum Duties and Responsibilities The Centre for Medical Image Computing (CMIC: http://cmic.cs.ucl.ac.uk ), and Dept. of Computer Science (UCL-CS: http://www.cs.ucl.ac.uk ) at University College London (UCL: http://www.ucl.ac.uk ) is offering a new post-doctoral research position to work on data segmentation and deep learning for quantitative MRI data of bone in normal and diseased states. The Research Fellow will be responsible for carrying out research in bone data extraction and segmentation from mixed tissue data sets of multi-parametric quantitative bone MRI, and advanced AI analysis of bone pathology to develop thresholds of disease and clinical presentational models. They will also be involved in data analysis, computational and statistical modelling, medical imaging and software development. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (salary ?30,922 - ?32,607 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis'. This Post is grant funded 2 years in the first instance. Key Requirements The successful candidate will hold a PhD in Physics/Math/Imaging Science, they should also have extensive knowledge of research techniques and methodologies. An ability to analyse and write up data is essential as is the ability to present complex information effectively to a range of audiences. Experience of programming in MATLAB, Python or similar is essential. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the ?Apply Now? button below. If you have any queries regarding the vacancy or the application process, please contact Dr Gary Zhang, gary.zhang@ucl.ac.uk . UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 18 Dec 2018 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job Description & Person Specification Apply Now
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