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We have 26 Computer Science (biology cell) PhD Projects, Programmes & Scholarships

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Computer Science (biology cell) PhD Projects, Programmes & Scholarships

We have 26 Computer Science (biology cell) PhD Projects, Programmes & Scholarships

PhD in stem cell modelling for neuropsychiatric disorders

This project provides a unique opportunity to explore the developmental origins of schizophrenia—a severe mental health disorder—using cutting-edge patient-derived stem cell models. 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

Experimental and computational Cancer PhD: Overcoming osteosarcoma chemoresistance by characterizing and targeting cellular quiescence

Cancer is the leading cause of death in children and the second in young adults in England and Wales. Sarcomas, tumours that originate from connective tissues (bone, muscle, fat), account for around 15% of childhood cancers. 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

Understanding the evolution of gene regulatory networks through biophysical modelling and machine learning

The ability to coordinate the expression of genes within a cell is at the heart of life. When and how much of a specific gene is turned into a protein is essential for organisms to respond to their environment and to manage resources. Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. 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

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