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Postdoctoral Researcher in Machine Learning for Healthcare

University of Oxford - Nuffield Department of Population Health

Location: Oxford
Salary: £33,309 to £40,927 per annum, Grade 7
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 13th September 2021
Closes: 29th September 2021
Job Ref: 152762

Location: NDPH, Old Road Campus, Headington, Oxford

Salary: Grade 7: £33,309 - £40,927 per annum

The Nuffield Department of Population Health contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. The Nuffield Department of Population Health (NDPH), a key partner in the Big Data Institute (BDI), contains world-renowned population health research groups and is an excellent environment for multi-disciplinary teaching and research.

We are looking for a Postdoctoral Researcher to conduct reproducible machine learning analyses of time-series wearable sensor data. In this role you will be supported to conduct reproducible machine learning analysis of time-series wearable sensor datasets, maintain accurate and comprehensive records of data analyses, code developed and methods used, contribute to the preparation of scientific reports and journal articles and represent the group at external meetings and seminars. You will also become a member of the Computational Health Informatics Lab led by Professor David Clifton at the Institute of Biomedical Engineering. There will be exciting opportunities to translate your research beyond academia, where you will closely collaborate with the genetics team led by Joanna Howson at the Novo Nordisk Research Centre Oxford.

To be considered you will hold, or be close to completion of a DPhil/PhD in machine learning, health data science, statistics, bioinformatics, or a closely related field and an excellent understanding of common machine learning methods (e.g. Random Forests, Convolutional Neural Networks, Recurrent Neural Networks) and of the programming approaches. You will also have experience of applying machine learning methods to real clinical problems.

The position is full time (part time considered) and fixed-term for 1 year. The closing date for application is 12.00 noon on 29th September 2021.

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