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)

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.abdnjobs.co.uk/vacancy/research-fellow-390386.html

Closing date: 27th July 2019