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We have 9 Artificial Intelligence (genetics) PhD Projects, Programmes & Scholarships

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Artificial Intelligence (genetics) PhD Projects, Programmes & Scholarships

We have 9 Artificial Intelligence (genetics) 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

Noise and Evolution in Ageing Cellular Power Stations

PhD Project. Imperial College Mathematics. Student Background. Theoretical Physics, Mathematics/Statistics, Electrical Engineering, Computing (Biological knowledge not required). Read more
Last chance to apply

AI for Modelling Equine Reproduction

The Postgraduate Research Programme MedAgriTech AI eXcellence (MATX) offers 12 PhD research scholarships to commence in 2024. Each project will include an enterprise placement of minimum 12 weeks duration. Read more

Emergent Properties of Large Databases

The emergence of unusual or unexpected distributions in large data samples has resulted in some well-known laws, which includes Zipf’s Law in textual analysis [1], the Pareto distribution in the measurement of wealth [2], Benford’s Law in the distribution of first digits in real-world measurements [3], and Chargaff’s Second Parity Rule in genetics [4]. Read more

Cancer Epigenetics project

Broad Project Summary: Cancer is a leading cause of morbidity and mortality worldwide. Epigenetic changes are now recognised as a hallmark feature of cancer, but our understanding of factors that are responsible for tumour spread still remains limited. 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

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

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
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