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Senior Research Associate / Research Fellow in Evidence Synthesis

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University of Bristol

ACAD103152

Bristol Medical School (PHS)

Grade J: 36,613 - 41,212 per annum/ Grade K: 42,418 - 47,722 per annum

The University of Bristol is seeking a talented researcher to work at the interface of systematic reviews and computer science. We are recruiting a Senior Research Associate or Research Fellow, with the level of appointment depending on qualifications and experience. The post-holder will contribute to a programme of methodological work aimed at making systematic reviews more efficient, including development and/or evaluation of automated or semi-automated approaches to identifying, summarising, critiquing and synthesizing research studies in various topic areas.

The post lies within the National Institute for Health Research (NIHR) Bristol Biomedical Research Centre (BRC), which aims to translate scientific discoveries to improve the health of NHS patients and the public. The post-holder will also work closely with members of the MRC Integrative Epidemiology Unit at the University of Bristol, with other staff and students at the University, and with external collaborators, and will work under the supervision of Professor Julian Higgins. Part of the role involves supporting systematic review work within the BRC.

The successful candidate is likely to have a high level of understanding and experience in text mining/machine learning with a strong interest in applying these skills to systematic reviews. We will also consider candidates with a high level of understanding and experience in systematic reviews if they have a strong computing background.

Name, tel no and email details for informal contact/s: Julian Higgins; julian.higgins@bristol.ac.uk; +44 (117) 3314529

The closing date for applications is 23:59 on Thursday 15 March 2018

Click Here To Apply


Status: Researcher
Location: Bristol, UNITED KINGDOM
Advert Published: 13 Feb 2018
Expiry date: 15 Mar 2018
University of Bristol Ref. No.:
ACAD103152
Academic Jobs EU Ref. No.:
Please quote this number if applying for this job offline.
J20204
 

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