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Position: Research Fellow
Institution: University College London
Department: Division of Medicine
Location: London, United Kingdom
Duties: combine the underlying molecular changes in prostate cancer with novel MR techniques, T2 mapping, ADC Map and long b diffusion sequence. identify the imaging (mpMRI, T2 mapping, VERDICT and 13C Hyperpolarised MR) endotype in patients with early prostate cancer that is associated with aggressive disease to avoid overtreatment of patients. develop a methodology to estimate histology from the MRI. Using machine learning to derive precise prostate histopathological mapping of tumours from mp-MRI images. develop a new technology: Susceptibility-Based Cancer Oxygenation Mapping (SBCOM) in prostate cancer and to investigate its clinical potential to non-invasively determine prostate cancers’ hypoxic status
Requirements: The candidate should hold a PhD or equivalent research experience in MRI physics, biomedical engineering, or a comparable subject with good publication track record consistent with career history. Applicants close to submission of a thesis will be considered. He/She should have experience of and commitment to multidisciplinary working. Imaging experience is desirable but not essential. The successful candidate is expected to have proven ability to organise and prioritise workload, work and communicate effectively within a team environment and on own initiative
   
Text: Research Fellow, - Ref:1751982 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 Grade 7 Hours Full Time Salary (inclusive of London allowance) ?35,328 - ?42,701 per annum Duties and Responsibilities The UCL PROMIS (Ahmed et al. Lancet 2017) and PRECISION (Kasivisvanathan et al. NEJM 2018) studies have revolutionised the diagnosis and management of prostate cancer. Join the UCL team and help us take the next steps in redefining the care of prostate cancer patients, aiming to: ? combine the underlying molecular changes in prostate cancer with novel MR techniques, T2 mapping, ADC Map and long b diffusion sequence. ? identify the imaging (mpMRI, T2 mapping, VERDICT and 13C Hyperpolarised MR) endotype in patients with early prostate cancer that is associated with aggressive disease to avoid overtreatment of patients. ? develop a methodology to estimate histology from the MRI. Using machine learning to derive precise prostate histopathological mapping of tumours from mp-MRI images. ? develop a new technology: Susceptibility-Based Cancer Oxygenation Mapping (SBCOM) in prostate cancer and to investigate its clinical potential to non-invasively determine prostate cancers? hypoxic status. The post holder is expected to work within Centre of Medical Imaging (CMI), Division of Medicine. His/Her main responsibilities includes research on image processing and pulse sequence programming for prostate clinical trials. The post is funded for 2 years in the first instance. Key Requirements The candidate should hold a PhD or equivalent research experience in MRI physics, biomedical engineering, or a comparable subject with good publication track record consistent with career history. Applicants close to submission of a thesis will be considered. He/She should have experience of and commitment to multidisciplinary working. Imaging experience is desirable but not essential. The successful candidate is expected to have proven ability to organise and prioritise workload, work and communicate effectively within a team environment and on own initiative. 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 Fiona Gong ( F.gong@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 31 Jan 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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