Medical Imaging Convention [rescheduled] Sep 15, 2021 - Sep 16, 2021 — National Exhibition Centre, Birmingham, England
2021 SINAPSE ASM Sep 16, 2021 - Sep 17, 2021 — Technology & Innovation Centre, University of Strathclyde, 99 George Street, Glasgow
Total Body PET 2021 conference [rescheduled] Sep 22, 2021 - Sep 24, 2021 — Virtual Meeting (online)
PET is Wonderful Annual Meeting 2021 Oct 26, 2021 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 studentship in Edinburgh: Deep learning for clinical decision support

Deep learning for clinical decision support

In collaboration with Toshiba Medical Visualization Systems, this project will develop methods, algorithms and theory that realize decision support systems via deep representation learning mechanisms based on both imaging and non-imaging clinical data.

Candidates should have a Master’s level education (or in exceptional cases an excellent (upper second class and higher) Bachelor’s degree) in electronic/electrical engineering, computer science (informatics), physics or closely related subjects. Any prior experience in medical image analysis is desirable but not necessary. Prior exposure to machine learning is desirable but not essential. The candidate will be expected to have a high level of analytical and investigative skills. The candidate should have good programming skills (e.g., Python, Matlab) and a solid mathematical background.

For more information on the project and how to apply, please visit:

Informal inquiries can be addressed to Principal Supervisor Dr Sotirios Tsaftaris with a CV attached.

The deadline for application is 15 June 2017