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Digital Health

Gillian Sinclair,

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.

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skeleton and DNA strand
skeleton and DNA strand

Digital Humanities

.,

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

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person with digital library
person with digital library

University Theme Leads

EF,

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.

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wooden people counters
wooden people counters

Research Communities

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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.

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bees on honeycomb
bees on honeycomb

Durham University Interns 2025

Emma Finch,
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RSE Support for Bede

EF,

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.

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Simple backlit keyboard

Research Projects using Bede

GW,

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

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OCF supercomputer
OCF supercomputer

Bede Projects at Durham University

Emma Finch,

Introducing research projects running on the Bede supercomputer from Durham University

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binary code in blue
binary code in blue

Ed Ruck-Keene

Initial publication date: June 2020,

Ed discusses the development of the Advanced Research Computing (ARC) group at Durham University.

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Peter Tymms

GW,

Working with a multi-disciplinary team, Peter's project seeks to set up an agent-based model (ABM) that can reproduce the patterns of progress seen in real-world data.

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