Scottish Radiological Society Spring Meeting 2021 May 14, 2021 09:00 AM - 05:00 PM — Virtual Meeting (online)
SINAPSE Virtual Happy Hour May 19, 2021 04:30 PM - 05:30 PM — Virtual Happy Hour (online)
9th Annual Scottish Radiotherapy Research Forum Jun 03, 2021 12:30 PM - 05:00 PM — Virtual Meeting (online)
Scottish Dementia Research Consortium Annual Conference 2021 Jun 16, 2021 10:00 AM - 03:30 PM — Virtual Meeting (online)
Medical Imaging Convention [rescheduled] Sep 15, 2021 - Sep 16, 2021 — National Exhibition Centre, Birmingham, England

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

Three vacancies for MR research at Edinburgh

Two Research Fellow posts in Magnetic Resonance Imaging and one Research Associate post in Medical Image Computing and Machine Learning

Three posts are currently available for MR research at the University of Edinburgh:

 

1. Research Fellow in Magnetic Resonance Imaging

A post-doctoral Scientist with a proven track record in Magnetic Resonance Imaging (MRI) research is required to join the existing MRI research team at the Clinical Research Imaging Centre (CRIC) at the University of Edinburgh.

The post provides an excellent opportunity for the Research Fellow to develop their own program of clinical imaging research at the same time as supporting established clinical MRI research in CRIC and leading on the setup of new projects within the centre by clinical researchers from both NHS and University. The post’s primary focus is supporting the existing range of clinical imaging projects being run in CRIC, with a focus on reproductive health (including fetal and neonatal biomarker development) as well as cardiac (tissue characterisation and coronary artery imaging) and neuro 3T research.

Informal enquiries to Dr Scott Semple: scott.semple@ed.ac.uk

For further information see https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=035903

Closing date: 29th April 2016

 

2. Research Fellow in Magnetic Resonance Imaging

A post-doctoral Scientist with a proven track record in Magnetic Resonance Imaging (MRI) research is required to join the existing MRI research team at the Clinical Research Imaging Centre (CRIC) at the University of Edinburgh.

The post is co-funded by the Experimental Medicine Imaging group of GlaxoSmithkline (GSK) and the successful applicant will act as a key point of contact between GSK and the University of Edinburgh to initiate and further develop collaborative projects focusing on the development of MRI biomarkers to disease progression and drug development.

The primary focus for this post is the use of novel MR contrast agents in clinical application, and DCE-MRI analysis, but the post also provides an excellent opportunity for the Research Fellow to develop their own program of multi-modality clinical imaging research as part of the established research program undertaken in collaboration between CRIC and GSK, leading on the setup of new multi-centre projects. CRIC has an established network of internationally leading clinical and industry research collaborators, and the post may also involve translational work on our preclinical 7T MR facility.

Informal enquiries to Dr Scott Semple: scott.semple@ed.ac.uk

For further information see https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=035919

Closing date: 6th May 2016

 

3. Research Associate in Medical Image Computing and Machine Learning

We have funding from the National Institutes of Heath (USA) together with partners from Cedars-Sinai Medical Center, University of California Los Angeles (California, USA), and Siemens, to investigate new non-invasive techniques of cardiovascular imaging with MRI.

We are looking for an enthusiastic and strongly motivated researcher to join us and build upon our efforts of bridging machine learning with medical image computing. 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.

Informal enquiries to Dr Sotirios A Tsaftaris: s.tsaftaris@ed.ac.uk

For further information see https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=035982

Closing date: 6th May 2016