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We have 19 Epidemiology (machine learning) PhD Projects, Programmes & Scholarships

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Epidemiology (machine learning) PhD Projects, Programmes & Scholarships

We have 19 Epidemiology (machine learning) PhD Projects, Programmes & Scholarships

Using nutrigenetic, nutrigenomic and machine learning approaches to investigate the risk of cardiometabolic disease-related traits in ethnically diverse populations.

This PhD project represents an exciting opportunity to develop and conduct research at the forefront of nutritional and genetic epidemiology, contributing to the prediction, prevention, and better understanding of the development of non-communicable diseases such as obesity and diabetes, using datasets from multiple ethnic groups. Read more

Remote patient monitoring using wearable devices and AI

Artificial intelligence (AI) has permeated various aspects of modern life, significantly influencing the healthcare sector. Fuelled by this momentum, remote patient monitoring facilitated by mobile sensing technology is on the way to changing how patients are monitored and treated. Read more

GOSH BRC Applied Child Health Informatics Theme (Non-Clinical) PhD Studentships

 An exciting non-clinical PhD opportunity at the NIHR Great Ormond Street Hospital Biomedical Research Centre (NIHR GOSH BRC) is open for applications. Read more
Last chance to apply

AI-enhanced dementia prevention: precision risk reduction using large language models, NIHR Funded PhD in Medical Studies Ref: 5100

Location. Department of Health and Community Sciences, St Luke’s Campus, Exeter. The University of Exeter’s Department of Health and Community Sciences is inviting applications for a PhD studentship funded by the NIHR to commence on the 23rd September 2024. Read more

Identifying DNA methylation signatures of prostate cancer progression and mortality among patients with clinically confirmed, localised disease at baseline in a large prospective clinical trial

Rationale. Prostate Cancer (PCa) is a leading cause of male mortality, with 336,000 deaths worldwide each year (1). Although most PCa cases are indolent, slow-growing, and tend not to progress, a subset of PCa cases are more aggressive and will progress to metastases, treatment resistance and death. Read more

The genetic map of human molecular phenotypes

Rationale. Genome wide associations studies (GWASs) have discovered many genetic associations with a large range of human traits, but the functional consequences of GWAS signals often remain elusive, as most GWAS signals reside in non-coding genomic regions. Read more

Repurposing and enriching cardiovascular risk prediction model to identify people at risk of cancer – UCL (part of Health Data Research UK’s Big Data for Complex Disease Driver Programme)

Risk-stratified management of cardiovascular disease (CVD), where people without established disease receive preventative interventions and monitoring based on their 10-years predicted risk, has been highly successful to ensure healthcare resources are allocated to those most likely to benefit. Read more

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