Scottish Clinical Imaging Network (SCIN) Annual Event 2020 [postponed] Apr 30, 2020 09:00 AM - 04:00 PM — Glasgow Caledonian University
NCITA National Conference: Translating Imaging Biomarkers for Improved Patient Outcomes [postponed] May 05, 2020 10:00 AM - 05:00 PM — New Hunt's House, Guy's Campus, King's College London
Scottish Radiological Society Spring Meeting 2020 [postponed] May 15, 2020 09:00 AM - 04:10 PM — Centre for Health Science, Inverness
2020 SINAPSE ASM Jun 19, 2020 09:00 AM - 05:00 PM — Virtual Meeting (online)
3rd International Conference on Medical Imaging with Deep Learning Jul 06, 2020 - Jul 08, 2020 — Palais des congrès, Montréal, Canada

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 Privacy and Machine Learning at University of Edinburgh

Postdoctoral Research Associate position in Edinburgh as part of iCAIRD Scottish centre of excellence for AI in digital diagnostics

Do you want to develop new paradigms for measuring if machine learning models leak data?

This is an immensely exciting opportunity to join the Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD) project which has received over £15m funding from Innovate UK and industrial partners to bring AI within the NHS.

We are looking for an enthusiastic Research Associate to join the team led by Prof. Sotirios Tsaftaris, and work in close partnership with industry (Canon Medical, Nvidia), academic experts in privacy, and NHS to address challenges of deploying artificial intelligence algorithms on sensitive data.

Areas of particular interest include: model inversion, membership inference attack, generative learning and reinforcement learning.

For further information see https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=051648

Closing date: 1st April 2020