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Medical Imaging (computational engineering) PhD Projects, Programs & Scholarships

We have 16 Medical Imaging (computational engineering) PhD Projects, Programs & Scholarships

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Showing 11 to 16 of 16
  MRC DiMeN Doctoral Training Partnership: Building integrated machine learning and genomic approaches to quantitate bone quality and fracture risk
  Prof M Wilkinson, Prof A Frangi, Prof E Zeggini
Application Deadline: 6 January 2020

Funding Type

PhD Type

Is this project for you?. This PhD Project would suit a student inspired by the prospect of participating in a truly multidisciplinary team.
  LKAS Studentship: Development of novel optical technology to assess electrical activity of hearts
  Dr C Muellenbroich
Application Deadline: 13 January 2020

Funding Type

PhD Type

In the heart, function and structure are intricately related, therefore, to understand the formation of arrhythmias, we need to investigate cellular electrophysiology within its native structural environment.
  Tools for live-cell imaging in the millisecond regime using Electrically Tunable Lenses
  Prof VM Draviam
Application Deadline: 24 January 2020

Funding Type

PhD Type

A fully funded PhD studentship is available for working with cutting-edge technologies in the field of Machine Learning (Computer Vision) and Cell Biology.
  Tools for live-cell imaging in the millisecond regime using Electrically Tunable Lenses
  Prof VM Draviam
Application Deadline: 24 January 2020

Funding Type

PhD Type

A fully funded PhD studentship is available for working with cutting-edge technologies in the field of Machine Learning (Computer Vision) and Cell Biology.
  MRC DiMeN Doctoral Training Partnership: Development of spinal cord PET-MRI for translational neuroscience applications
  Dr S.P. Sourbron, Dr C Tsoumpas, Dr T Jenkins
Application Deadline: 6 January 2020

Funding Type

PhD Type

The combination of positron emission tomography (PET) and magnetic resonance imaging (MRI) in hybrid PET-MRI scanners promises major advances in our understanding of neurodegenerative disease and development of more effective treatment.
  A cross - resolution preclinical imaging framework based on MRI and light sheet microscopy to assess post - stroke axonal regrowth.
  Dr M Bastiani, Assoc Prof R Trueman, Prof S P Watson
Application Deadline: 17 January 2020

Funding Type

PhD Type

Applications are invited for an MRC fully funded 3.5 year PhD studentship at the University of Nottingham – UK, under the primary supervision of Dr Matteo Bastiani.
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