|Salary:||£32,817 to £40,322 p.a. Grade 7|
|Hours:||Full Time, Part Time|
|Placed On:||31st August 2021|
|Closes:||7th October 2021|
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.
As a Researcher you will work on state-of-the-art image analysis and machine learning algorithms for discovery of new microvascular health parameters for type 2 diabetes and cardio metabolic diseases in the Oxford – Novo Nordisk Collaboration. You will develop a novel research pipeline, conduct individual research, analysing detailed and complex multi-modal quantitative data from a variety of sources, and generate original ideas by building on existing concepts. The key duties of the post involve harmonisation, analysis and interpretation of imaging features, linkage to genetic and other clinical measurements.
To be considered you will have a relevant PhD (e.g. Computer Science, Engineering, Medical Image Analysis) and sufficient specialist knowledge in medical imaging. You will have experience of research software development using Python (or Matlab) programming languages and experience of working with machine learning and image analysis frameworks such as PyTorch or Tensorflow.
The position is full time (part time considered) and fixed-term for 2 years.
The closing date for application is 12.00 noon on 7th October 2021.
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