Research Associate in Statistics - Manchester, United Kingdom - The University of Manchester

The University of Manchester
The University of Manchester
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Manchester, United Kingdom

1 month ago

Tom O´Connor

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Tom O´Connor

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Description

We are seeking a Research Associate with expertise in
causal inference to join the University of Manchester spoke of CHAI hub: Causality in Healthcare and AI.

The CHAI hub; led by University of Edinburgh and also involving University of Central London (UCL), Imperial College, Kings College London, and University of Exeter; is a £12M investment in the development of new theory and methods for causality as applied to healthcare.


Specific exemplars of interest include:

optimising cancer treatment including how to optimise radiotherapy treatment plans; cancer diagnosis and screening where fairness of models that prioritise individuals for screening is a particular concern; and cardiovascular primary prevention where we seek to optimise both population-level and individual-level intervention, providing guidance both to individuals and policy-makers.

You should have expertise in causal inference, and may come from a statistical and/or machine learning background. You will hold, or be about to obtain, a PhD in a relevant field.

This is a unique opportunity to join a large UK-wide team of experts in causal inference for healthcare to make a real difference in the field of causal AI.

Our University is positive about flexible working you can find out more here

Blended working arrangements may be considered


Enquiries about the vacancy, shortlisting and interviews:

Name:
Dr Matthew Sperrin


General enquiries:


Technical support:


Jobtrain:
**Please see the link below for the Further Particulars document which contains the person specification criteria.
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