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We have 8 Artificial Intelligence (cancer bioinformatics) PhD Projects, Programmes & Scholarships

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Artificial Intelligence (cancer bioinformatics) PhD Projects, Programmes & Scholarships

We have 8 Artificial Intelligence (cancer bioinformatics) PhD Projects, Programmes & Scholarships

AI-based Identification of New Drug Targets for Personalised Oncology

A fully funded PhD Studentship is available to work with Professor Francesca Ciccarelli, Lead of the Centre for Cancer Genomics and Computational Biology, Bart's Cancer Institute at Queen Mary University of London. Read more

Combining CRISPR-screens and AI to Identify Novel Therapeutic Strategies to Target Cancer-Stroma Interactions

A fully funded PhD Studentship is available to work with Dr Angus Cameron, Reader in Cell Signalling and Tumour Cell Biology, Barts Cancer Institute at Queen Mary University London, Dr Otto Morris, Senior Biological Data Scientist at Exscientia, and Professor Pedro Cutillas, Professor of Cell Signalling and Proteomics, QMUL, Barts Cancer Institute at Queen Mary University London. 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

Development of a highly innovative label-free & deep-learning based analysis method: Histoplasmonic Tissue Cytometry

The doctoral candidate (DC) will perform applied research in bioinformatics, i.e., the extraction of numerical values from biological samples, by engaging deep learning technologies to microscopic images with the aim to develop a novel solution for future clinical diagnostics of cancer. Read more

Engineering AI and deep learning approaches for digital pathology and bioimaging

An exciting opportunity to join a dynamic and multidisciplinary group at the School of Cancer and Pharmaceutical Sciences. You will develop new computational pathology approaches to improve cancer patient treatment and diagnosis. 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
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