Medical Imaging Convention [rescheduled] Mar 09, 2021 - Mar 10, 2021 — National Exhibition Centre, Birmingham, England
9th SINAPSE Neuro-oncology Imaging Meeting [rescheduled] Mar 11, 2021 09:30 AM - 03:30 PM — West Park Conferencing & Events, 319 Perth Road, Dundee DD2 1NN
Total Body PET 2020 conference [rescheduled] Jun 05, 2021 - Jun 07, 2021 — McEwan Hall, University of Edinburgh

eLearning

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

Vacancy: Research Associate in Deep Learning and Medical Image Computing at Edinburgh

Research Associate in Deep Learning and Medical Image Computing at University of Edinburgh

We are looking for an enthusiastic and strongly motivated researcher to join us to investigate new non-invasive techniques of cardiovascular imaging with MRI, and build upon our efforts of bridging deep learning with medical image analysis. Areas of interest include: the design of segmentation and registration algorithms using machine learning techniques, and the development of algorithms for the extraction of biomarkers from cardiac MRI datasets available for this project.

The candidate will join an international team and will have the opportunity to participate in exciting projects where medical image computing helps us understand physiology and provide solutions that aid diagnosis. Beyond our international collaborations, within the UK and here at the University of Edinburgh we collaborate with the Centre for Cardiovascular Science and the Clinical Research Imaging Centre at Queen's Medical Research Institute. The PI, Dr Sotirios Tsaftaris, is also a fellow of the Alan Turing Institute, one of whose pillars is the use of machine learning for better health technologies.

Candidates should hold a PhD in electrical engineering, computer science or related discipline. A good record of international publications demonstrating prior experience in one or more of medical image analysis, machine learning, computer vision, image/signal processing is required. Experience in medical image analysis in MRI will be considered a plus. The candidate should have good programming skills, a strong mathematical background, good communication skills and the ability to work within a team.

This is a full time and fixed-term appointment for 12 months.

For further information see http://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=046047

Closing date: 18 January 2019