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We help advance medical research by facilitating the use of HPC resources and building connections between medical and technical domains via networking events and training workshops.

There is growing interest in employing computationally intensive research methods in the Humanities and using HPC to expand the possibilities for research.

Machine Learning sits at the heart of a large number of modern data processing models and the N8 CIR is building a community of researchers to share experiences and methodologies.

The N8 CIR has an academic lead for its three key themes at each institution across the N8 partnership. For you to easily find who to contact locally, their names and links to their university research pages are given here.

Communities based on our digital health, digital humanities and machine learning research themes are growing. Click on your institution to find further information on the theme leads, research groups, resources, and local events that may be of interest.

The support of research software engineers will be vital to ensuring that researchers can maximise the benefits of Bede's unique Power 9 and GPU architecture. This page provides information about how to contact the Bede RSE specialists at your institution.

Bede is used by researchers across the N8. Here you can find descriptions of projects at each institution.

Introducing research projects running on the Bede supercomputer from the University of Liverpool

Peter-John discusses SAVSNET, which collects veterinary clinical notes and questionnaire data from 15% of UK veterinary practices, alongside veterinary laboratory test results from the larger UK clinical laboratories, accounting for around 60% of all UK veterinary lab submissions.