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Position: Research Fellow/Senior Research Fellow
Institution: University College London
Department: Division of Medicine
Location: London, United Kingdom
Duties: This project will address some of these challenges, concentrating on methods that do not need external motion monitoring equipment. The project builds on large experience at INM and UCL with data-driven techniques for motion detection and correction, image reconstruction, and quantification of dynamic PET data, both in the brain and for the lung. The primary responsibility of the post-holder will be to develop, implement and evaluate novel algorithms for motion detection and correction in dynamic PET/CT and to facilitate clinical implementation of the novel technology
Requirements: You will have a PhD in medical physics, medical image analysis or related area including substantial elements of medical image processing. Familiarity with issues on quantification in medical imaging and PET/CT is desirable. Previous experience with motion detection, correction and image reconstruction will be highly beneficial. Demonstrated skill in computer programming is required (at least Python or MATLAB, but C++ desirable)
   
Text: Research Fellow/Senior Research Fellow, - Ref:1791294 Click here to go back to search results Apply Now UCL Department / Division Division of Medicine Specific unit / Sub department Research Department of Metabolism and Experimental Therapeutics Location of position London Grades 7-8 Hours Full Time Salary (inclusive of London allowance) Grade 7 - (?35,328 - ?42,701 per annum) Grade 8 - (?43,884 - ?45,128 per annum) Duties and Responsibilities A Research Fellow/Senior Research Fellow is required to join Professor Thielemans? laboratory in the UCL Institute of Nuclear Medicine (INM) to work on development of methods and algorithms for improving image quantification in dynamic PET/CT in the thorax. These studies are particularly challenging due to multiple factors influencing data quality, and in particular internal movement caused by respiration and patient movement. This project will address some of these challenges, concentrating on methods that do not need external motion monitoring equipment. The project builds on large experience at INM and UCL with data-driven techniques for motion detection and correction, image reconstruction, and quantification of dynamic PET data, both in the brain and for the lung. The primary responsibility of the post-holder will be to develop, implement and evaluate novel algorithms for motion detection and correction in dynamic PET/CT and to facilitate clinical implementation of the novel technology. We are a leading centre with access to state-of-the-art equipment, including 2 PET/CT, 1 PET/MR, 2 SPECT/CT and 2 SPECT scanners. Our research group currently consists of 6 PhD students, 3 postdocs and 2 tenured staff members. We have extensive collaborations within UCL, other academic centres and industry. The post is funded for 2 years in the first instance. Key Requirements You will have a PhD in medical physics, medical image analysis or related area including substantial elements of medical image processing. Familiarity with issues on quantification in medical imaging and PET/CT is desirable. Previous experience with motion detection, correction and image reconstruction will be highly beneficial. Demonstrated skill in computer programming is required (at least Python or MATLAB, but C++ desirable). Further Details A job description can be accessed at the bottom of this page. To apply for the vacancy please click on the ?Apply Now? button below. For an informal discussion please contact Professor Kris Thielemans ( k.thielemans@ucl.ac.uk ) For any queries regarding this advert or recruitment process please contact Anita Gorasia ( a.gorasia@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 6 Mar 2019 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 and Person Specification Apply Now
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