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Position: Research Fellow in Disease Progression Modelling and Machine Learning for Clinical Trials
Institution: University College London
Department: Department of Computer Science - 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 extend and develop machine learning tools for individualised prediction and stratification in Alzheimer’s disease clinical trials; To incorporate disease mechanisms within these tools for informing future treatment development efforts
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, physics), and a track record in machine learning applied to large-scale data analysis. The applicant should also have excellent communication skills and a commitment to conducting high-quality research that will benefit healthcare
   
Text: Research Fellow in Disease Progression Modelling and Machine Learning for Clinical Trials, - Ref:1861361 Click here to go back to search results Apply Now UCL Department / Division Department of Computer Science Specific unit / Sub department Computer Science Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £35,965 to £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 extend and develop machine learning tools for individualised prediction and stratification in Alzheimers disease clinical trials. To incorporate disease mechanisms within these tools for informing future treatment development efforts. The duration of this post will be 18 months in the first instance with a possibility to extend. 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, physics), and a track record in machine learning applied to large-scale data analysis. The applicant should also have excellent communication skills and a commitment to conducting high-quality research that will benefit healthcare. 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 will be appointed at the bottom increment of the 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. Neil Oxtoby ( n.oxtoby@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 26 Apr 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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