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We have 21 Computer Science (resistance) PhD Projects, Programmes & Scholarships

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Computer Science (resistance) PhD Projects, Programmes & Scholarships

We have 21 Computer Science (resistance) PhD Projects, Programmes & Scholarships

(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

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
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An AI driven robotic system for physical exercise and personalised sports rehabilitation

The Postgraduate Research Programme MedAgriTech AI eXcellence (MATX) offers 12 PhD research scholarships to commence in 2024. Each project will include an enterprise placement of minimum 12 weeks duration. Read more

A taste of home: Exploring migrating food heritage and food information practices

What food makes us feel at home? What makes a food recipe authentic offline and online?.  Food is a basic human need, a source of nutrients to support life and growth, and a key component in shaping our culture, identity and belonging. 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

Design of Printable Nickel-based Superalloys for High Temperature Application

Supervisory Team: Professor Pedro Rivera and Professor Philippa Reed . Project Description. Superalloys are a class of advanced materials able to withstand very high temperatures and corrosive environments. Read more

Data centric modelling of adhesive wear

Supervisory Team:  Robert Wood, Jo Grundy and Dave Stewart (RRSL).  Project description. The occurrence of adhesive wear between sliding surfaces can cause high friction, vibration, material transfer between surfaces and even seizure of components. Read more

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