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We have 13 Computer Science (genomic) PhD Projects, Programmes & Scholarships

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Computer Science (genomic) PhD Projects, Programmes & Scholarships

We have 13 Computer Science (genomic) PhD Projects, Programmes & Scholarships

NIHR Leeds BRC: Utilising genetic and genomic predictors of vasculitis and disease/treatment complications for application in routine clinical practice

There is substantial interest in using genetic biomarkers to predict those most at risk of disease and treatment complications; this is one of the focuses of Our Future Health, a national study aiming to recruit 5M participants ( https://ourfuturehealth.org.uk/ ). Read more

AI-Driven Discovery of Genetic Markers in Developmental Disorders

Developmental disorders (DDs) are defined as a group of conditions manifesting as cognitive, social, and motor dysfunctions The existing literature showcases the potential of Artificial Intelligence (AI) and genomics in advancing our understanding and diagnosis of DDs. Read more

Engineering AI and deep learning approaches for digital pathology and bioimaging

An exciting opportunity to join a dynamic and multidisciplinary group at the School of Cancer and Pharmaceutical Sciences. You will develop new computational pathology approaches to improve cancer patient treatment and diagnosis. Read more

4-year PhD Studentship: Towards Accurate Disease Surveillance: Deep Learning-Assisted Simulation of Bacterial Genomes

Public health surveillance programmes routinely collect vast amounts of pathogen genomics data each year. A pressing issue is how to best utilise this information for effective disease monitoring and management. 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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