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We have 32 Queen Mary University of London PhD Projects, Programmes & Scholarships

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Queen Mary University of London PhD Projects, Programmes & Scholarships

We have 32 Queen Mary University of London PhD Projects, Programmes & Scholarships

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

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

Session types for safe distributed programming

Distributed systems and Internet applications are fundamental to modern computing and society. However, the development of safe, practical and efficient languages and techniques for distributed programming remains an open area of computer science research. Read more

De Sitter matrix models and field theory

  Research Group: Geometry, Analysis & Gravitation
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2024. . Read more

Thermodynamic signatures of collective behaviour in active matter

  Research Group: Complex Systems
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2024. . Read more

Regularity theory and singularity analysis of geometric PDEs via phase field approximations

  Research Group: Geometry, Analysis & Gravitation
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2024. . Read more

Novel causal models for multivariate functional data

  Research Group: Data Science, Statistics & Probability
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2024. . Read more

New frontiers in extreme data analysis

  Research Group: Data Science, Statistics & Probability
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2024. . Read more

Dissecting behaviourally relevant feedback microcircuits in the brain

Interactions between distinct neural circuits in the brain help in sensory-guided perceptual decisions. We have recently reported that task/context-switching behaviour is dependent upon specific populations of neurons in the frontal cortex which encode and convey rule-related information (Banerjee et al. Read more

Physics-based Multi-scale Modelling of Multi-Material Additive Manufacturing

Project Details. Additive manufacturing (AM) is emerging as a promising alternative for designing multi-material parts for complex geometries in engineering applications; especially in the biomedical sector. Read more

Discovery of cancer antigens that are epigenetically-regulated as biomarkers and vaccine candidates

We are seeking a graduate who is passionate about contributing to cancer research and who has a background in immunology or epigenetics and a degree at least at the upper second-class honours level. Read more

Elucidating the fate of iron and copper based nanofertilizer in soil-plant system using isotope labelling and synchrotron techniques

Nanotechnology is a rapidly advancing enabling technology with the potential to revolutionize modern life. More recently, the application of nanotechnology in agriculture has garnered significant attention due to its high potential to facilitate sustainable agriculture and enhance food security. Read more

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