BMUS Ultrasound 2019 Dec 10, 2019 - Dec 12, 2019 — Harrogate, England
Scottish Ophthalmic Imaging Society meeting Feb 14, 2020 09:30 AM - 05:00 PM — Royal Society of Edinburgh, 22-26 George Street, Edinburgh
2nd Scottish Ultrasound Annual Scientific Meeting Feb 28, 2020 10:00 AM - 05:00 PM — Collins Building, University of Strathclyde
8th Annual Scottish Radiotherapy Research Forum Mar 12, 2020 10:00 AM - 04:30 PM — Stirling Court Hotel, University of Stirling
Medical Imaging Convention 2020 Mar 17, 2020 10:00 PM - 04:00 PM — 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

Vacancy: Research Fellow in Computational Neuroimaging at University of Aberdeen

Postdoctoral position on multi-modal MRI neuroimaging project seeking to develop a model of brain impaired functions in Alzheimer’s disease

A position is available for a Research Assistant / Fellow to join a multidisciplinary team of scientists and clinicians who are focussed upon unravelling the mechanisms of cognitive decline in Alzheimer's disease. Specifically he/she will be responsible for the analysis and understanding of multi-modal MRI brain data to develop a network approach in understanding changes in brain structure and functions in patients with Alzheimer's disease. To achieve this he/she will investigate how Alzheimer's disease disrupts neural pathways and how the brain compensates and responds to such disruptions.

This position is funded by an RSAT project focused on developing a model of brain impaired functions in Alzheimer's disease, based on the large-scale brain networks, rather than on existing diagnostic categories. Brain networks will be defined by both functional and structural connectomes. The objective of the overall project is to develop novel neuroimaging-informed ways to classify Alzheimer's disease and mild cognitive impairment. Neuroimaging-defined connectomes will be linked to specific behavioural and cognitive scores. 3D structural imaging, diffusion tensor imaging and functional imaging (from resting condition) were already acquired. This post is an excellent opportunity to gain experience in managing big data sets (stored across different neuroimaging platforms) and in utilising computational approaches in neuroscience.

You must have a PhD in Imaging, neuroscience or a qualitative field (e.g., computer science, engineering, physics) plus the appropriate level of experience that demonstrates the relevant skills in brain image processing and analysis. You will also be a qualified and creative scientist with training in the use of modern computational connectivity techniques applied to human neuroimaging data.

Informal enquiries to Dr Vesna Vuksanovic (vesna.vuksanovic@abdn.ac.uk).

For further information see https://www.jobs.ac.uk/job/BWR950/research-fellow

Closing date: 14th December 2019