Identifying Personalised Prevention Factors for Dementia: A Precision Medicine Approach Using the UK Biobank Cohort

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Organisation
University of East Anglia
Location
Norwich, United Kingdom
Application Deadline
17 Apr
Study Options
Full Time
Contact Name
Dr. Mizanur Khondoker
Contact Email
m.khondoker@uea.ac.uk

Project description: This is an exciting opportunity for a candidate with a motivation to work with ‘Big data’ including phenotypic and genotypic measures from the UK Biobank cohort (n=500,000) for dementia research. The successful candidate will develop novel ‘Precision Medicine Approaches’ for identifying personalised prevention strategies for dementia. The project will be undertaken in collaboration with a multidisciplinary team of researchers at the University of East Anglia (UEA) including Dr Mizanur Khondoker, Prof. Michael Hornberger and Prof. Lee Shepstone who have complementary research interest and expertise in Statistical modelling, Machine Learning and dementia research. This studentship offers an opportunity to develop and apply a range of research methods combining statistical modelling with techniques for genome-wide genotypic data from the UK Biobank cohort.

The research will be carried out in the Faculty of Medicine and Health Sciences, Norwich Medical School at UEA which offers an attractive environment for PhD students, with access to world class training in computing, research and development support via the UEA’s Centre for Staff and Educational Development (CESED) and Research and Specialist Computing Support (RSCS) team. There is an outstanding infrastructure for research with plenty of opportunities to participate in workshops, conferences and seminar events.

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 Statistics/Biostatistics, 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 ageing and dementia research and motivation for learning statistical modelling and analysing genome wide genotypic data. Appropriate training will be provided depending on the needs and interests of the successful candidate.

Funding notes: This PhD project is in a Faculty of Medicine and Health Sciences competition for funded studentships. These studentships are funded for 3 years and comprise of Home/EU fees, a stipend of £15,009 and £1000 per annum to support research training. Overseas applicants may apply but are required to fund the difference between home/EU and overseas tuition fees (in 2020-21 the international fee is £15,700 for non-lab based projects but fees are subject to an annual increase).


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