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We have 16 Computer Science (cellular biology) PhD Projects, Programmes & Scholarships

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

We have 16 Computer Science (cellular biology) PhD Projects, Programmes & Scholarships

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

Circadian mechanisms in psoriasis: therapeutic opportunities

Hallmark features of psoriasis symptoms vary through time, suggesting an important role for circadian circuits in driving disease expression, and offering the potential of chronotherapy. Read more

Cardiac Harmony: Modelling Heart Beats with Stem Cells and Code

Despite significant advancements in cardiac research, heart disease remains a leading cause of mortality globally. Unexpected cardiac events can occur even in young, fit individuals engaged in routine activities. 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

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

Analysis of pathogen determinants recognized by the hypervariable immune receptor Dscam

Background. To mount an immune response, host organisms must first recognize the pathogen with which they are infected. The first line of defense against pathogen infection in animals is provided through the innate immune response. Read more

Machine learning to predict blood function – towards better haematology analysis

Blood represents a complex mixture of blood cells, plasma proteins, hormones, lipids, salts and water. Blood is good indicator of health, and clinically, blood samples are taken frequently to monitor health, risk of disease or success of treatments. 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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