PET is Wonderful Annual Meeting 2020 Oct 27, 2020 02:00 PM - 05:40 PM — Virtual Meeting (online)
Through the Looking Glass: Breaking Barriers in STEM Oct 28, 2020 12:00 PM - 03:30 PM — Virtual Meeting (online)
NRS Mental Health Network Annual Scientific Meeting 2020 Nov 04, 2020 09:00 AM - 05:30 PM — Virtual Meeting (online)
Scottish Radiological Society Annual General Meeting 2020 Nov 06, 2020 09:30 AM - 03:30 PM — Virtual Meeting (online)
IPEM educational meeting: Artificial Intelligence in MRI Nov 18, 2020 12:00 AM — 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 opportunities at Dundee

Imaging-related research projects available among QIBIOMED Doctoral Training Programme PhD opportunities at University of Dundee

The QIBIOMED Doctoral Training Programme, funded by the MRC, aims to train the next generation of scientists in Quantitative and Interdisciplinary approaches to biomedical science. The programme includes the following imaging-related research projects based at the University of Dundee:

AI-Spot-Dementia (AISDA): developing machine learning algorithms to predict the risk of dementia for patients with Type 2 Diabetes (Supervisors: Dr Jianguo Zhang, Prof Douglas Steele, Prof Manuel Trucco, Dr Alex Doney)

Automatic, reliable detection of nocturnal epileptic seizures in real time via machine learning of multi-modal data (Supervisors: Prof Manuel Trucco, Prof Stephen McKenna)

Discovery of composite biomarkers and the role on the retina in risk prediction for systemic diseases using deep learning (Supervisors: Prof Manuel Trucco, Dr Alex Doney)

Stratifying Patients by Drug Response in a large diabetic cohort using deep learning (Supervisors: Prof Manuel Trucco, Prof Ewan Pearson, Dr Jianguo Zhang, Prof Stephen McKenna)

Use of Machine Learning and Computer Vision to detect Cerebral Microbleeds in SWI MRI (Supervisors: Dr Jianguo Zhang, Dr Alex Doney, Prof Stephen McKenna)

For more information on the studentships and the application process, please visit:

Application deadline: 18th January 2019