Data Sciences and Brain Health across the Life Course session in 2020 SICSA Conference Oct 01, 2020 01:15 PM - 03:15 PM — Virtual Meeting (online)
Ophthalmic Medical Image Analysis MICCAI 2020 Workshop Oct 08, 2020 12:00 AM — Virtual Meeting (online)
Predictive Intelligence in Medicine MICCAI 2020 Workshop Oct 08, 2020 12:00 AM — Virtual Meeting (online)
PET is Wonderful Annual Meeting 2020 Oct 27, 2020 02:00 PM - 05:40 PM — Virtual Meeting (online)


SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists.

Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

PhD studentship at Glasgow: Quantitative MRI of the prostate at 7T

Quantitative magnetic resonance imaging of the prostate at 7 tesla

This project is available through the iCASE scheme integrated with the MRC Precision Medicine Doctoral Training Programme, which involves the student spending at least 3 months over the lifetime of the PhD with a non-academic partner. This collaborative programme between the University of Glasgow and the University of Edinburgh addresses key MRC skills priorities in Quantitative Skills (mathematics, statistics, computation, developing digital excellence) as applied to variety of data sources (from 'omics' to health records) or Interdisciplinary Skills including imaging, and stratified medicine.

We are looking for a physicist or engineer to participate in a major initiative to develop the Precision Medicine Living Lab at the Queen Elizabeth University Hospital in Glasgow. This will integrate medical research across a range of disciplines, including technology development for clinical MRI, based in the Imaging Centre of Excellence (ICE), which houses one of the first 7T MRI scanners in a clinical setting. The PhD project is a partnership with a local technology company, MR CoilTech, and there is close collaboration with the NHS and Siemens Healthcare.

The project will use 7T MRI to develop an advanced imaging capability for the diagnosis of prostate cancer. Compared to standard MRI at 1.5T or 3T, this field strength allows a higher spatial resolution and improved precision of quantitative parameters, providing the potential for a detailed characterisation of prostate disease in individual patients. The successful candidate will be involved in the design and construction of dedicated radiofrequency hardware, as well as software modules to control data acquisition and processing. The candidate will contribute to a clinical study to assess the benefits of this new technology and to support its integration into a wider programme of precision medicine for prostate cancer.

For details of this project with Prof David Porter and Prof Hing Leung at the University of Glasgow, go to

The deadline for application is 7 September 2020