Artificial Intelligence (genomics) PhD Projects, Programmes & Scholarships

We have 7 Artificial Intelligence (genomics) PhD Projects, Programmes & Scholarships

AI-based Identification of New Drug Targets for Personalised Oncology

Queen Mary University of London Digital Environment Research Institute

A fully funded PhD Studentship is available to work with Professor Francesca Ciccarelli, Lead of the Centre for Cancer Genomics and Computational Biology, Bart's Cancer Institute at Queen Mary University of London. Read more

Supervisor: Prof F Ciccarelli

6 May 2024 PhD Research Project Competition Funded PhD Project (UK Students Only)

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

University of Reading Department of Food and Nutritional Sciences

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

Supervisor: Dr V Karani

Year round applications PhD Research Project Self-Funded PhD Students Only

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Interpretable machine learning to identify biomarkers from multi-omics data of human cancer

The University of Manchester Department of Computer Science

This project aims to address the critical field of cancer research, a leading cause of death globally. Read more

Supervisor: Dr H Zhou

Year round applications PhD Research Project Competition Funded PhD Project (Students Worldwide)

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Determining the biological basis of observed clinical outcomes in juvenile idiopathic arthritis using genetics and multiomics

The University of Manchester Faculty of Biology, Medicine and Health

Juvenile idiopathic arthritis (JIA) is a chronic inflammatory arthritis affecting children and young people with an age of disease onset less than 16 years of age. Read more

Supervisors: Dr J Bowes, Dr J Humphreys

Year round applications PhD Research Project Self-Funded PhD Students Only

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AI-Driven Discovery of Genetic Markers in Developmental Disorders

Edinburgh Napier University School of Computing, Engineering & the Built Environment

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

Supervisor: Dr LL La Spada

Year round applications PhD Research Project Self-Funded PhD Students Only

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

University of Bristol Bristol Veterinary School

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

Supervisor: Prof K Reyher

Year round applications PhD Research Project Self-Funded PhD Students Only

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An optimal framework for disease risk prediction and stratification for multi-ethnic populations (ref: SF22/HLS/APP/Chimusa)

Northumbria University Faculty of Health and Life Sciences

The exceptional polygenicity of human traits makes unravelling mechanisms from disease risk prediction models daunting. The development of polygenic risk scores (PRS) methods, their evaluation and clinical utility have been explored almost in European ancestry Genome-Wide Association Studies (GWAS) data sets. Read more

Supervisor: Prof E Chimusa

Year round applications PhD Research Project Self-Funded PhD Students Only

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We have 7 Artificial Intelligence (genomics) PhD Projects, Programmes & Scholarships

Artificial Intelligence (genomics) PhD Projects, Programmes & Scholarships

We have 7 Artificial Intelligence (genomics) PhD Projects, Programmes & Scholarships

AI-based Identification of New Drug Targets for Personalised Oncology

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

Interpretable machine learning to identify biomarkers from multi-omics data of human cancer

Determining the biological basis of observed clinical outcomes in juvenile idiopathic arthritis using genetics and multiomics

AI-Driven Discovery of Genetic Markers in Developmental Disorders

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

An optimal framework for disease risk prediction and stratification for multi-ethnic populations (ref: SF22/HLS/APP/Chimusa)

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