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We have 27 Computer Science (x-ray) PhD Projects, Programmes & Scholarships

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Computer Science (x-ray) PhD Projects, Programmes & Scholarships

We have 27 Computer Science (x-ray) PhD Projects, Programmes & Scholarships

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

Leveraging plant biomechanics under hostile environments

Supervisory Team:  Dr Siul Ruiz, Dr Sharif Ahmed, Dr James Le Houx, Prof Tiina Roose. Project description. The UK food-related activities contribute to a staggering quarter of a trillion pounds (>10% of UK GDP in 2022). Read more

Applying novel imaging methods and machine learning techniques to advance in-vivo knee biomechanics analysis

3 years full time start date July/October 2024. Project Summary. This is an opportunity to work on an exciting project focussed on machine learning applied to in-vivo knee biomechanics working with Cardiff University, Imperial College, Katholieke Universiteit Leuven and University of Florida. Read more

Virtual unrolling of scrolls [Self-Funded Students Only]

  Research Group: Visual Computing
There are many historic scrolled parchments in collections that are extremely delicate due to age as well as to damage caused by fire, water, etc. 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

Doctor of Engineering (EngD) - Image capture and multimodal AI for interactive radiology assistance (Canon Medical and University of Edinburgh)

  Research Group: CDT in Applied Photonics
The EngD is an alternative to a traditional PhD aimed at students wanting a career in industry. Students spend about 75% of their time working directly with a company in addition to receiving advanced-level training from a broad portfolio of technical and business courses. Read more

Research Studentship in machine learning for registration, mosaicking and resolution enhancement for imaging data from artworks

AHRC Collaborative Doctoral Partnership. Applications are invited for a PhD studentship, to be undertaken at Imperial College London (Electrical and Electronic Engineering Department) and the National Gallery (Scientific Department). Read more

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