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We have 18 Bioinformatics PhD Projects, Programmes & Scholarships in Reading

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Discipline

Biological Sciences

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Location

Reading  United Kingdom

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Bioinformatics PhD Projects, Programmes & Scholarships in Reading

We have 18 Bioinformatics PhD Projects, Programmes & Scholarships in Reading

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

Novel strategies for the diagnosis and treatment of snakebites

Snakebite envenomation (SBE), a high priority neglected tropical disease affects several million people worldwide resulting in as many as 150,000 deaths and around 500,000 permanent disabilities every year. Read more

Protein engineering enzymes for Industry

Project Overview. We are interested in key features of the protein sequence - structure - function relationship, and how this information can be translated to health. Read more

Using CRISPR in iPS cells to modify platelet function

Project Overview. Platelets are the small cells in the blood whose job it is to prevent bleeding. Under normal conditions, when they encounter a damaged blood vessel they become activated and form a thrombus. Read more

Examining the mechanisms that cause cardiovascular disease by studying the heart or adipose tissue

Heart failure has a serious impact on our society and once diagnosed has a poor survival rate. In the United Kingdom, there are about 1.5 million people living with the after-effects of a heart attack. Read more

Systems level analysis of platelet signalling

We are interested in how intracellular signal transduction networks bring about complex biological behaviours in cells. We do this by combining computational biology with wet laboratory experimentation. Read more

Multilevel selection on transposition rates in cancer

Cancer is an evolutionary process. Cells in a tumour vary due to mutation, and so over many generations they adapt in response to both intrinsic selective pressures (such as anoxia) and extrinsic selective pressures (such as chemotherapy). Read more
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