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We have 13 Cancer Biology (machine) PhD Projects, Programmes & Scholarships

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Cancer Biology (machine) PhD Projects, Programmes & Scholarships

We have 13 Cancer Biology (machine) PhD Projects, Programmes & Scholarships

PhD Machine Learning for Medical Imaging

  Research Group: Applied Optics
We are offering a fully funded PhD studentship in the application of machine learning to medical imaging, especially imaging of cancer. 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

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

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

(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

NIHR Leeds BRC: Multimodal predictive modelling of outcome in patients with gastrointestinal cancer

Worldwide, cancer of the upper (oesophagus, stomach) and lower gastrointestinal (colon and rectum) tract is newly diagnosed in 3.6 million patients every year and 2.2 million patients die from this disease every year. 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

Transcriptome homeostasis in cellular ageing and cancer

Project Summary. We have previously established the oncogenic mechanisms of the transcription factor FOXM1 in perturbation of genome stability (1, 2), epigenome (3, 4) and adult progenitor epithelial stem cell proliferation (5). Read more

Transcriptome biomarkers and mechanisms of chemoresistance

Project Summary. This project aims to identify biomarkers linked to the most potent multimodal anticancer therapy with the least toxicity to counteract hemoresistance in head and neck squamous cell carcinoma (HNSCC). Read more
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