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We have 15 Genetics (machine) PhD Projects, Programmes & Scholarships

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Genetics (machine) PhD Projects, Programmes & Scholarships

We have 15 Genetics (machine) PhD Projects, Programmes & Scholarships

Understanding the evolution of gene regulatory networks through biophysical modelling and machine learning

The ability to coordinate the expression of genes within a cell is at the heart of life. When and how much of a specific gene is turned into a protein is essential for organisms to respond to their environment and to manage resources. Read more

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

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

Early life environment changes how organisms age.

This project will help understand why organisms age differently by establishing the effect of early life environments on epigenetic ageing in the model insect, Nasonia vitripennis. Read more

The evolutionary basis of feeding preferences: A Geometric Framework approach

Despite the essential role food plays in our lives, we have little understanding of how different nutrients work together to impact functioning, or the reasons individuals choose certain combinations of food. 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
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