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We have 41 Data Analysis (imaging) PhD Projects, Programmes & Scholarships

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Data Analysis (imaging) PhD Projects, Programmes & Scholarships

We have 41 Data Analysis (imaging) PhD Projects, Programmes & Scholarships

Robust Computational Methods for High-Dimensional Imaging

This project aims to develop new computational algorithms to optimize the acquisition and processing of single-photon data and enable fast imaging in extreme conditions using statistical and learning based approaches.   The project is funded for 3.5 years for international students and a ~£17K annual stipend. 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

Machine learning approaches to cross-modal information fusion in podiatric X-ray imaging

Supervisory Team.   Thomas Blumensath (ISVR), Alex Dickinson (Engineering Sciences). Project description. Three dimensional images of the foot taken under loading conditions can provide a valuable clinical tool for the assessment of bone alignment related complaints. Read more

Underwater single-photon depth imaging

This PhD project aims to investigate novel single-photon detector arrays for underwater single-photon depth imaging. The successful candidate will investigate different single-photon technologies to obtain three-dimensional images in several underwater environments. 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

Assessment of phototherapy with model organism Saccharomyces cerevisiae

Project Overview.  . Saccharomyces cerevisiae is extensively used as model organism and is well understood from a sequencing perspective so up-regulation or down-regulation of gene expression is tractable. Read more

Characterisation of tissue microstructure from non-invasive MRI using Machine Learning

The characterisation of biological tissue microstructure in vivo and non-invasively is of outmost interest in science. If successful, it could reveal unique insights into biological processes, including aging and cancer. Read more

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