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We have 10 Bioinformatics (material) PhD Projects, Programmes & Scholarships

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Bioinformatics (material) PhD Projects, Programmes & Scholarships

We have 10 Bioinformatics (material) PhD Projects, Programmes & Scholarships

Eliminating Harmful Cells to Maintain Homeostatis and Prevent Tumorigenesis

Hamaratoglu Lab studies cell-cell signalling in development, homeostasis and tumourigenesis. We take advantage of outstanding genetic tools in Drosophila, and use larval imaginal discs as model epithelial organs. Read more

Exploiting raptor genome sequences to combat wildlife crime

Birds of prey have suffered persecution for centuries through trapping, shooting, poisoning and theft from the wild to meet the demand from egg collectors and falconers; they were also amongst the earliest beneficiaries of DNA testing in wildlife forensics. Read more

Exploring Viral Nucleic Acid Machinery via Cryo Electron Microscopy to Advance Biomedicine

Viruses, these tiny but potent life forms, are all around us, infecting various organisms and directly affecting human health. Although in most cases, viral infection is not life threatening, in the minority of cases it leads to long-term disorders including cancer. Read more

Genetics: Investigating the functional effect of novel genes and genetic variants in malignant hyperthermia susceptibility using model systems

Malignant hyperthermia (MH) is an inherited condition, where patients exposed to anaesthetic drugs are susceptible to a dramatic hyperthermic and hypermetabolic response that can contribute to a significant proportion of post-operative morbidity and deaths. Read more

Where has all of the carbon gone? Understanding the molecular mechanisms of long-term soil carbon capture

Soils, while unglamorous, form the basis of the terrestrial biosphere and are ultimately the source of the majority of the food that we eat, yet fundamental aspects of how soils form and how they store carbon are poorly understood. Read more

Predicting drug solubility in different solvents using molecular simulation and machine learning

Predicting the solubility of complex drug-like molecules is crucial at several stages of the drug discovery and manufacture. In particular, solvent selection has been highlighted as a crucial step in process design and optimisation [1]. Read more
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