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We have 92 Statistics (project) PhD Projects, Programmes & Scholarships

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Statistics (project) PhD Projects, Programmes & Scholarships

We have 92 Statistics (project) PhD Projects, Programmes & Scholarships

Hybrid OFDM transmission system for connected autonomous vehicles

Orthogonal Frequency Division Multiplexing (OFDM) is a technique that exploits orthogonal carriers to transmit information and enhance received signal diversity and consequently increase received signal-to-noise ratio (SNR). Read more

Improving the effectiveness of social advertising

  Research Group: Centre for Societies and Groups
Research Group. Centre for Societies and Groups. Proposed supervisory team. Dr Magdalena Zawisza. Theme. Consumer Psychology, Gender and Sexualities, Identity and Social Issues, Social Advertising. Read more

Extending social perception theories to advertising context

  Research Group: Centre for Societies and Groups
Research Group. Centre for Societies and Groups. Proposed supervisory team. Dr Magdalena Zawisza. Theme. Consumer Psychology, Gender and Sexualities, Identity and Social Issues, Social Perception and Advertising. 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

Using nutrigenetic, nutrigenomic and machine learning approaches to investigate the risk of cardiometabolic disease-related traits in ethnically diverse populations.

This PhD project represents an exciting opportunity to develop and conduct research at the forefront of nutritional and genetic epidemiology, contributing to the prediction, prevention, and better understanding of the development of non-communicable diseases such as obesity and diabetes, using datasets from multiple ethnic groups. Read more

Understanding Barriers and Facilitators to Technology Adoption Among Older Adults: A Mixed-Methods Approach

To explore and understand the multi-dimensional factors that either impede or facilitate the use of new technology among older adults, and to develop guidelines or interventions that can enhance their technological literacy and adoption rates. . 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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