4th International Conference on Medical Imaging with Deep Learning Jul 07, 2021 - Jul 09, 2021 — Virtual Meeting (online)
Medical Image Understanding and Analysis Conference 2021 Jul 12, 2021 - Jul 14, 2021 — Virtual Meeting (online)
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)


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: Postdoctoral Researcher position in machine learning for medical image analysis at Edinburgh

Research Fellow post in Modern Machine Learning Approaches for Medical Image Analysis at University of Edinburgh

A post-doctoral level position is available within the University of Edinburgh for a computer scientist in Modern Machine Learning Approaches for Medical Image Analysis, linked to the recently announced Health Data Research UK Scottish Substantive Site, one of only 6 such institutes in the UK.

The successful candidate will join an internationally recognised multidisciplinary team including clinical medical imaging experts, especially of the brain (Centre for Clinical Brain Sciences, Edinburgh), and in informatics, machine/deep learning and computer vision (School of Informatics, Edinburgh; CVIP/VAMPIRE, Computing Dundee).

The main purpose of this role is to develop robust medical image analysis systems and tools that can successfully process multi-modality heterogeneous medical imaging for consistent, accurate biomarker identification, diagnosis, risk stratification and quantification of common brain diseases at scale, ultimately for use in routine health care.

We have immediate access to multi-modal, highly characterised neuroimaging and other related data including clinical data on over 30,000 patients. Research access is being prepared to the Scottish national PACS, the Scottish Medical Imaging Research Database on the National Safe Haven (part of the £7.5M Scottish Farr Institute funding), which includes 23 million routinely collected radiological examinations linked to other medical records from a population of 5.4 million and over 1.7 petabytes of data collected since 2010.

The post-holder will develop advanced solutions based on machine learning and deep learning. Relevant research experience in computer science including expertise to PhD level in machine learning or a strongly related field is required.

Enquiries can be directed to Grant.mair@ed.ac.uk

For further information see https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=046674

Closing date: 21 February 2019