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  Statistical and Machine Learning approaches using Big data for personalised prevention of dementia (KHONDOKER_U23FMH)


   Norwich Medical School

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  Dr M Khondoker  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

Project description: This is an exciting opportunity 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 studentship offers an opportunity to develop and apply a range of research methods combining statistical modelling with techniques for genome-wide genotypic data.  

Environment: The PhD will be supervised by 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 expertise in Statistical modelling, Machine Learning and dementia research. 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 and genetics, machine learning, high performance computing, and research & development support via the Centre for Staff and Educational Development and Research and Specialist Computing Support (RSCS) team.  

For informal enquiry, contact Dr. Mizanur Khondoker: [Email Address Removed]  

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: Funded for 3 years and comprise UK fees, an annual stipend of £17,668 and £1,000 per annum for research training (RTSG). Overseas applicants (including EU) may apply but are required to fund the difference between Home and International tuition fees. 


Biological Sciences (4) Computer Science (8) Mathematics (25)

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 UK fees, an annual stipend of £17,668 and £1,000 per annum for research training (RTSG). Overseas applicants (including EU) may apply but are required to fund the difference between Home and International tuition fees.

References


[1]
Livingston, G., Sommerlad, A., Orgeta, V., Costafreda, S. G., Huntley, J., Ames, D., ... & Cooper, C. (2017). Dementia prevention, intervention, and care. The Lancet, 390(10113), 2673-2734.
[2]
Dudbridge, F., Power and predictive accuracy of polygenic risk scores. PLoS genetics, 2013. 9(3): p. e1003348-e1003348.
[3]
Andrews, Shea, et al. Interactive effect of APOE genotype and blood pressure on cognitive decline: the PATH through life study. Journal of Alzheimer's Disease 44, 4 (2015): 1087-1098.
[4]
Licher, S., et al., Genetic predisposition, modifiable-risk-factor profile and long-term dementia risk in the general population. Nature Medicine, 2019.
[5]
Lourida, I., et al., Association of Lifestyle and Genetic Risk With Incidence of DementiaAssociation of Lifestyle and Genetic Risk With Incidence of DementiaAssociation of Lifestyle and Genetic Risk With Incidence of Dementia. JAMA, 2019. 322(5): p. 430-437.

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