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We have 60 Data Analysis (part time) PhD Projects, Programmes & Scholarships

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Data Analysis (part time) PhD Projects, Programmes & Scholarships

We have 60 Data Analysis (part time) PhD Projects, Programmes & Scholarships

NIHR Leeds BRC: Utilising genetic and genomic predictors of vasculitis and disease/treatment complications for application in routine clinical practice

There is substantial interest in using genetic biomarkers to predict those most at risk of disease and treatment complications; this is one of the focuses of Our Future Health, a national study aiming to recruit 5M participants ( https://ourfuturehealth.org.uk/ ). Read more

NIHR Leeds BRC: Improving understanding of the use and interpretation of risk prediction tools

There are many risk prediction tools developed but only a fraction make it to routine clinical use. The reasons are multiple, for example some are geographically specific, many remain unvalidated, some lack clinical utility. . Read more

Towards a better understanding of indoor air quality in the home

The World Health Organisation (WHO) recently stated that exposure to indoor and outdoor air pollution was one of the greatest risks to human health, and that improving air quality was necessary to reduce the global incidence and impact of diseases such as lung cancer, stroke, and asthma. Read more
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Sustainable Foundation Models for Time Series Processing Applied to Sustainability

Foundation models are a special class of large AI models that are trained with huge amounts of data to learn general underlying patterns to be further specialised to downstream tasks via transfer learning. 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

Functional Data Analysis in Finance

In Functional data analysis (FDA), the variable of interest can be naturally viewed as a smooth curve or function, rather than scalars in univariate analysis or vectors in multivariate analysis. 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 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

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