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Resources
Training & Events
We host in-person and online training events along with research community meetings locally and across the N8 to allow researchers to discuss their work and find new collaboration partners.


N8 CIR Event Resources
Links to resources from events, training, and seminar series run by the N8 CIR for our key research themes and research support are provided here.


Digital Health Resources
A collection of resources provided for the N8 CIR Digital Health community from workshops and meetings.


Digital Health Community Day Presentations


HPC for Healthcare
This page contains links to resources used as part of the recent HPC for Healthcare facilitated by Will Furnass and Mark Dunning of the University of Sheffield.


Twitter for Health Data Research
Real-time social media data from platforms such as Twitter are a fantastic source of data - never has an individual been able to access historic opinions and watch them develop over time so trivially.


N8 CIR Research Software Engineer Meet Up Resources
Web Scraping with Python
Bede Introductory Event, January 2021
On 28 January researchers who have already made use of Bede in their work came together to present case studies of their experience.


GlueViz
Digital Humanities Resources
A collection of resources provided for the N8 CIR Digital Humanities community from workshops and meetings.


Machine Learning Resources
A collection of resources provided for the N8 CIR Machine Learning community from workshops and meetings.


Research Software Engineering
A collection of presentations and information from meetings held for the N8 CIR Research Software Engineering community.


Research Data Stewards
Bede Supercomputer Resources
These resources are provided to help you get started on using the Bede supercomputer. Please remember to also look on our Bede Documentation page for detailed information on the system.


Online training resources
Here the N8 CIR brings together links to online training and resources that people may find useful to access for self-managed learning.

