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Position: Machine Learning Scientist
Institution: University of Oxford
Location: Oxford, Oxfordshire, United Kingdom
Duties: Your responsibilities will include employing the existing (and developing new) Machine Learning algorithms that can find patterns in large multi-modal data, innovating and providing solutions for the delivery of care (e.g., by designing and undertaking research projects that translate complex healthcare problems into Machine Learning problems) and participating in, leading, and creating cross-functional research projects (and training)
Requirements: You will hold a PhD/DPhil (or close to completion) in computer science engineering or in a related field. You will have scientific expertise and applied experience in machine learning, in depth understanding of common machine learning algorithms and track record in advanced topics of machine learning. You will also have advanced programming skills in Python and/or R, practical experience in preparing data for machine learning and you will have completed at least one significant project in applied machine learning
   
Text: Machine Learning Scientist (two posts) Nuffield Department of Obstetrics and Gynaecology, The George Institute for Global Health, Le Gros Clark Building, South Parks Road, Oxford Grade 8: £39,324 - £46,924 p.a. Do you have expertise in Machine Learning? Could you use this experience to help us create game-changing solutions for healthcare problems? The George Institute for Global Health, part of the Nuffield Department of Obstetrics and Gynaecology, is looking for two Machine Learning Scientists to join the team and contribute to the development and implementation of the algorithmic core of a series of exciting new projects in Oxford Martin Schools prestigious program on Deep Medicine. The program is focused on solving high-impact healthcare problems, with the application of modern machine learning algorithms to large multi-modal (e.g. genetics, imaging, medical records) biomedical datasets. Your responsibilities will include employing the existing (and developing new) Machine Learning algorithms that can find patterns in large multi-modal data, innovating and providing solutions for the delivery of care (e.g., by designing and undertaking research projects that translate complex healthcare problems into Machine Learning problems) and participating in, leading, and creating cross-functional research projects (and training). You will hold a PhD/DPhil (or close to completion) in computer science engineering or in a related field. You will have scientific expertise and applied experience in machine learning, in depth understanding of common machine learning algorithms and track record in advanced topics of machine learning. You will also have advanced programming skills in Python and/or R, practical experience in preparing data for machine learning and you will have completed at least one significant project in applied machine learning. Real-world experience in deep learning, integration of machine learning algorithms with big-data platforms (e.g. Spark) and high-performance computing ecosystems (e.g., CUDA) as well as Programming in C++ and Java would also be an advantage. These positions are full-time and fixed-term for 2 years, with the possibility of further extension. These posts are available immediately; ideally we would like somebody in post by September 2017 or as soon as possible thereafter. You will be required to upload a CV and supporting statement as part of your online application. The closing date for applications is 12.00 noon on Monday 10 July 2017. Contact Person : Recruitment Administrator Vacancy ID : 129433 Contact Phone : 01865 221002 Closing Date : 10-Jul-2017 Contact Email : recruitment@obs-gyn.ox.ac.uk Click on the link(s) below to view documents Filesize 129433 NDOG Machine Learning Scientist_JD 222.6
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