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Position: Research Associate in Biostatistics
Institution: Imperial College London
Location: London, United Kingdom
Duties: 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
Requirements: 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
   
Text: Research Associate in Biostatistics Apply now Save this job Job summary 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 3 April 2019 Closing date 5 May 2019 Key information about the role Location Hammersmith Campus (map) Position type Full time, fixed term Salary £37,486 plus benefits Department Institute of Clinical Sciences Category Researcher / Non Clinical Researcher Job description Job summary 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. Essential requirements 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. Further information This post is full-time, fixed term until September 2020. For technical issues when applying online please email recruitment@imperial.ac.uk Committed to equality and valuing diversity, we are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people. The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/ The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research / Documents Research Associate - JD and PS.pdf About Imperial College London Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world. You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City. We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces. It’s our mission to achieve enduring excellence in all that we do for the benefit of society - and we are looking for the most talented people to help us get there. Additional information Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities. All Imperial employees are expected to follow the 7 principles of Imperial Expectations: Champion a positive approach to change and opportunity Communicate regularly and effectively within, and across, teams Consider the thoughts and expectations of others Deliver positive outcomes Encourage inclusive participation and eliminate discrimination Develop and grow skills and expertise Work in a planned and managed way In addition to the above, employees are required to observe and comply with all College policies and regulations . Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.
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