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We have 45 Data Analysis (equality) PhD Projects, Programmes & Scholarships

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Data Analysis (equality) PhD Projects, Programmes & Scholarships

We have 45 Data Analysis (equality) PhD Projects, Programmes & Scholarships

Synergistic Experimental and Data-driven Catalyst Development for Sustainable Synthesis

The Thomas Group in collaboration with GSK and Dr Ephrath Solel Moroshko are now recruiting a motivated PhD student to develop a new method for the discovery and application of sustainable catalysis. Read more

Inflammatory Arthritis in Childhood: Impact, Outcomes and Safety of Treatment

Juvenile Idiopathic Arthritis is the most common inflammatory arthritis of childhood. Although less common than arthritis in adults, a diagnosis of arthritis in a child can have lasting impacts on that child and their families through their entire lifespan. Read more

Investigating the genetic basis of immunological overlap between inflammatory diseases

Genetic studies have identified numerous variants within the human genome associated with susceptibility to common complex inflammatory diseases, such as rheumatoid arthritis (RA) and ulcerative colitis (UC). Read more

Clinical Prediction Modelling under Federated Learning

Clinical prediction models (CPMs) take a set of characteristics about a patient to estimate their risk of an event of interest. Developing CPMs using data that captures observations across multiple clusters (e.g., countries) can increase the robustness and generalisability of CPMs. Read more

Controlled Synthesis of Virtual Patient Populations with Multimodal Representation Learning

This project invites PhD candidates who are interested in developing generative models that can deal with complex multimodal patient data, contributing to safer, better and faster innovations of medical products via in-silico trials. Read more

Exploring the role of HR Analytics in Organisational Performance

  Research Group: School of Management
In recent years, digitalisation has introduced new opportunities for organisations and transformed various organisational functions, such as human resources (HR), towards the implementation of digital approaches. Read more

Data-Driven Computational Sensing and Imaging

Today's state-of-the-art imaging and sensing rely as much on computation as they do on sensor hardware. Furthermore, computational sensing and imaging is increasingly exploiting data-driven and machine learning solutions to enhance performance and develop novel hardware/software co-designed sensing systems. Read more

Optimal prediction of dynamical systems with incomplete data

Dynamical systems describe a variety of real-life problems related to evolution over time. It is often the case that the problems are so complicated that mathematical models for them either do not exist or are not accurate enough. Read more

Studying disordered materials by 3D electron diffraction

Structural disorder in materials can be an important method of understanding their properties for a wide range of applications. However detecting and modelling disorder at the nanoscale can be a difficult undertaking. Read more

Understanding crack branching via multiscale mathematical methods

There are many examples of branching in nature. the most celebrated of these is the way that rivers form by the coalescence of many small streams and rivers which build up to form a major river. Read more

Self funded MSc by Research or PhD in Biology: The oncogenic mechanism and potential of the emergent retrovirus ALV-K in global poultry

Lead supervisor: Dr Andrew Mason. The student will be registered with the Department of Biology. Background. Avian Leukosis Viruses (ALV) are oncogenic retroviruses which cause blood cancers in chickens, impacting commercial productivity and animal welfare. Read more

Metamaterials for catalysis

A meta-atom is an engineered sub-wavelength structure that, when periodically arranged like an atomic lattice, enable optical, electronic, thermal, and chemical functionalities not seen in conventional designs. 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

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