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  Resolving the cortex with ultra-high resolution MRI to detect epileptic lesions
King’s College London School of Biomedical Engineering & Imaging Sciences
  Prof C Prieto
Applications accepted all year round
Epilepsy is the most common neurological condition in children and the most common cause is cortical malformations. We have been developing high quality quantitative structural Magnetic Resonance Imaging (MRI) to allow these to be more optimally detected.
Details
Type/Funding
  PhD Industrial CASE studentship - Deep Learning for Face Image Analytics - Development of strategies for extracting facial attribute knowledge from deep learning architectures on image data
Newcastle University School of Computing
  Dr J Bacardit
Applications accepted all year round
Number of awards. 1. Start date and duration. Academic year 2018/2019 for 4 years. Application closing date. We would like to keep this advert open until a suitable candidate has been identified.
Details
Type/Funding
  Doctor of Engineering (EngD): Optical Communication and Image Processing for Space Applications (OCIPSA) (STAR-Dundee)
Heriot-Watt University School of Engineering & Physical Sciences
  Prof D Reid
Application Deadline: 30 April 2019
Project not available to non UK/EU applicants. The EngD is an alternative to a traditional PhD aimed at students wanting a career in industry.
Details
Type/Funding
  Advanced digital image processing for Building Information Modelling (BIM)
Manchester Metropolitan University Faculty of Science and Engineering
  Dr E Lou
Applications accepted all year round
Reference Number. EL-2018-PhD-1. Project Summary. Technology in building design, simulation and intelligence in buildings are well-represented and making headlines with Building Information Modelling (BIM).
Details
Type/Funding
  Radio-frequency Image Processing (EPSRC CDT in Distributed Algorithms)
University of Liverpool EPSRC CDT in Distributed Algorithms
  Prof K Chen, Dr Y Zheng
Application Deadline: 29 March 2019
This studentship has been developed by the University of Liverpool in partnership with Leonardo. This PhD will develop novel methods for processing modern radar range-Doppler data, using methods taken from image processing and adapting them for use to process very large 2D signal data.
Details
Type/Funding
  Super-resolved Terahertz Microscopy for Cellular Imaging
University of Reading School of Biological Sciences
  Dr J Bowen
Applications accepted all year round
"The goal of this research project is to develop a new terahertz microscopy technique for the imaging of live cells with a spatial resolution of better than 1 micrometre.
Details
Type/Funding
  Advanced Image Processing Techniques for Complex Multidimensional Imaging Data
Durham University Department of Computer Science
  Dr B Obara
Applications accepted all year round
PhD in Computer Science at Durham University, UK. The project will develop techniques and methods for processing and analysis of complex multidimensional image data, with applications in biology, medicine, engineering, remote sensing, and arts and humanities.
Details
Type/Funding
  SiMPLeR: Single-sequence Multi-dimensional Prostate MRI with Deep Learning for enhanced image guided Radiotherapy Treatment
King’s College London School of Biomedical Engineering & Imaging Sciences
  Dr I Dregely
Applications accepted all year round
First Supervisor. Dr Isabel Dregely. Second Supervisor. Dr M. Jorge Cardoso. The aim of this project is to improve cancer treatment and cure rates through highly individualised radiotherapy by developing next generation image guidance for integration with radiotherapy planning.
Details
Type/Funding
  Domain Specific Optimisation Techniques for Real-time Image/Signal Processing on Heterogeneous FPGA+CPU platform
University of Stirling Computing Science and Mathematics
  Dr D Bhowmik, Dr R Nicol, Prof B Graham
Application Deadline: 31 March 2019
The increasing pervasion of vision systems in a number of application fields like machine vision, autonomous vehicles and systems, wearable and mobile devices, object detection and tracking, brings with it the need for the development of efficient and low power data and image processing capabilities.
Details
Type/Funding
  Automated crack detection using image processing
University of Strathclyde Department of Electronic and Electrical Engineering
  Dr P Murray, Dr G West
Applications accepted all year round
The accurate detection and quantification of cracks and defects in structures such as. bridges, tunnels, roads and offshore pipelines is important to allow owners and operators of these high value assets to understand and quantify their condition.
Details
Type/Funding
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