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We have 202 Computer Science (diversity) PhD Projects, Programmes & Scholarships

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Computer Science (diversity) PhD Projects, Programmes & Scholarships

We have 202 Computer Science (diversity) PhD Projects, Programmes & Scholarships

PhD Studentship in Quantitative Magnetic Resonance Imaging MRI of the spine

A 3-year PhD Studentship is available at the UCL Division of Surgery and Interventional Science, within the Research Department of Orthopaedics and Musculoskeletal Science based at the Royal National Orthopaedic Hospital (RNOH) and in collaboration with Cleveland Clinic London (CCL). Read more

Controlled Synthesis of Virtual Patient Populations with Multimodal Representation Learning

This project invites PhD candidates who are interested in developing generative models that can deal with complex multimodal patient data, contributing to safer, better and faster innovations of medical products via in-silico trials. Read more

(MRC DTP CASE) Multiomic evaluation of differential drug response in metastatic breast cancers

Breast cancers are the most common cancers in women. Estrogen Receptor (ER) plays a major role in breast cancer growth. To stop the cancer from growing further, clinically successful ER-targeting therapies like Fulvestrant, etc were developed. Read more

(MRC DTP CASE) Investigating the mechanisms contributing to impaired regulatory function of B cells in autoimmunity

The implementation of biological therapies has significantly advanced the management of autoimmune diseases (AIDs). However, the failure to achieve clinical remission in ‘non-responders’ remains a significant and unmet challenge. Read more

Early life factors in the development of Juvenile idiopathic arthritis

Juvenile idiopathic arthritis (JIA) is an autoimmune inflammatory arthritis with disease onset before the age of 16. Children and young people with this condition develop painful swollen joints and untreated it can lead to long term disability. It may also be associated with comorbid conditions such as uveitis. Read more

New Methods for modelling cofactor-dependent enzyme structure and function

Enzymes are Nature’s catalysts and many used cofactors and/or coenzymes to catalyse their reactions. While AI and homology methods now often allow the useful prediction of protein structure from amino acid sequence, this can be more challenging when the protein/enzyme contain cofactors. Read more

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