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PhD Studentship: Mendelian Randomisation to Assess Effectiveness of Mediterranean Diet on Multimorbidity Prevention

University of East Anglia

Qualification Type: PhD
Location: Norwich
Funding for: UK Students, EU Students, International Students
Funding amount: Competition Funded Project (Home and International)
Hours: Full Time
Placed On: 2nd November 2023
Closes: 15th January 2024
Reference: KHONDOKER_U24FMH

Project description: This is an exciting opportunity to work with ‘Big data’ including dietary and genotypic measures from the UK Biobank cohort for multimorbidity prevention. The successful candidate will work on novel applications of advanced statistical causal inference methods (Mendelian randomisation) for assessing the effectiveness of Mediterranean diet as a prevention intervention for multimorbidity. The studentship offers an opportunity to develop and apply a range of research methods combining statistical modelling with techniques for genome-wide genotypic data. 

Environment and training: The PhD will be supervised by a multidisciplinary team of researchers within Norwich Epidemiology Centre at the University of East Anglia (UEA) including Dr Mizanur Khondoker and Professor Alexander Macgregor with multidisciplinary and complementary interest and expertise in multimorbidity research genetic epidemiology and statistical modelling. The Faculty of Medicine and Health Sciences at UEA offers an attractive environment for PhD students, with access to world class training in statistical modelling, genetics, artificial intelligence, high performance computing, and research & development support via the Research and Specialist Computing Support team. 

For informal enquiry, contact Dr. Mizanur Khondoker: m.khondoker@uea.ac.uk 

Person specification: Applicants should have a minimum of an upper second class (2:1) Honours degree, master’s degree, or equivalent in a relevant subject. 

A degree in Epidemiology, Statistics, Data Science, Life and Social Sciences or Medicine (with substantial component and/or experience in quantitative methods), Applied Mathematics, Computing, Quantitative biology, Bioinformatics, Statistical genetics, Physics or similar. The applicants should have an interest in health research and motivation for learning statistical modelling and analysing dietary and genetic data from Big cohort. Appropriate training will be provided depending on the needs and interests of the successful candidate.

Funding notes: Funded for 3 years and comprise UK fees, an annual stipend of £18,622 and £1,000 per annum for research training. International applicants may apply but are required to secure additional funding to fund the difference between UK and overseas tuition fees (visit: https://www.uea.ac.uk/study/fees-and-funding/fees for details of Home and Overseas fee rates).

Primary Supervisor: Mizanur Khondoker

Start Date: October 2024

For more information on this project, please visit https://www.uea.ac.uk/search/courses/

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