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Position: Research Fellow: Data Scientist for Cancer Early Detection
Institution: University College London
Department: Computer Science
Location: London, United Kingdom
Duties: The post is based at the Centre for Medical Image Computing (CMIC) within the UCL Department of Computer Science. The main duties are: To construct and maintain a computational resource for use by the UCL component of the CRUK International Alliance for Cancer Early Detection (ACED); To exploit modern machine learning and AI techniques for exemplar applications in e.g. prostate, lung, and pancreatic cancer
Requirements: The applicant is required to have an honours degree (minimum 2: 1) and a PhD in a discipline related to this project (mathematics, statistics, engineering or physics), experience with machine learning and large scale data analysis, and experience in high-performance computing. The applicant should also have excellent communication skills and a commitment to conducting high-quality research; We offer an attractive range of staff benefits including 41 days annual leave per year inclusive of closure days and bank holidays, pension scheme, season ticket loan, professional development, eye care scheme, discounted gym membership and much more. All new staff joining the organisation will be appointed at the bottom increment of a pay grade, only in exceptional circumstances will the salary offered at a higher rate
   
Text: Research Fellow: Data Scientist for Cancer Early Detection, - Ref:1860342 Click here to go back to search results Apply Now UCL Department / Division Computer Science Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £35,965 - £43,470 per annum Duties and Responsibilities The post is based at the Centre for Medical Image Computing (CMIC) within the UCL Department of Computer Science. The main duties are: · To construct and maintain a computational resource for use by the UCL component of the CRUK International Alliance for Cancer Early Detection (ACED). · To exploit modern machine learning and AI techniques for exemplar applications in e.g. prostate, lung, and pancreatic cancer. Key Requirements The applicant is required to have an honours degree (minimum 2:1) and a PhD in a discipline related to this project (mathematics, statistics, engineering or physics), experience with machine learning and large scale data analysis, and experience in high-performance computing. The applicant should also have excellent communication skills and a commitment to conducting high-quality research. We offer an attractive range of staff benefits including 41 days annual leave per year inclusive of closure days and bank holidays, pension scheme, season ticket loan, professional development, eye care scheme, discounted gym membership and much more. All new staff joining the organisation will be appointed at the bottom increment of a pay grade, only in exceptional circumstances will the salary offered at a higher rate. 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 Peter Wijeratne (p.wijeratne@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 13 Mar 2020 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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