Research Associate in Biostatistics
The post is one of two post-doctoral positions funded by a BHF New Horizons grant to investigate machine learning approaches for the integrated analysis of cardiac MRI and clinical data to make better predictions of patient outcomes in heart failure. For further information on the research program please visit http://digital-heart.org/. The post offers an exciting opportunity to work at the cutting-edge of machine learning in medicine by...
Job listing information
- Reference MED01178
- Date posted 5 June 2019
- Closing date 7 July 2019
The post is one of two post-doctoral positions funded by a BHF New Horizons grant to investigate machine learning approaches for the integrated analysis of cardiac MRI and clinical data to make better predictions of patient outcomes in heart failure. For further information on the research program please visit http://digital-heart.org/.
The post offers an exciting opportunity to work at the cutting-edge of machine learning in medicine by showing the added value of deep learning prediction in disease prognostication.
Duties and responsibilities
The candidate will work in a vibrant multi-disciplinary team that crosses the domains of machine learning, clinical imaging and risk modelling in a world-leading research environment. The post holder will have the opportunity to liaise with an extensive network of collaborators, attend scientific conferences, and publish the results of their work in top journals.
This grant-funded project aims to develop end-to-end training of deep networks to predict patient outcomes from complex training data – including 3D models of cardiac motion. The candidate will work closely with a second post-doctoral researcher in image analysis to develop powerful methods for patient classification and prediction.
We are seeking a talented postdoctoral researcher with a background in modelling time-to-event (survival) data – who has the skills to develop machine learning approaches for outcome prediction.
This post is full-time, fixed term until September 2020.
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Imperial is a Disability Confident leader
Imperial is working in partnership with GIRES to promote respect and provide equal treatment for trans people