Tag Query Results

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

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.

Introducing the N8 CIR Theme Leads at the University of Sheffield, research groups, resources, seminars, and events happening locally that may be of interest.

A list of Sheffield researchers using the Bede supercomputer in their research.

Lewie graduated with a degree in Computer Science at the University of Sheffield in the summer of 2026.

Echo is a Computer Science student whose interest in programming started when he joined a coding club at the age of 8. He has been interested in medical and assistive computing for the last 6 years. He is enjoying research in healthcare computing at university and aims to do a PhD and go into academia after he graduates.

Artem is a fourth-year student and chose to study Computer Science out of a genuine love for computers. His passion for academic research was sparked during my third-year dissertation, where he developed an early-stopping method for AutoML. He continued on that path by researching LLM behavioural alignment as part of my fourth-year module.

Shreyan is studying for a BSc Financial Mathematics because he has always been fascinated by how abstract mathematical ideas can be applied to solve real-world problems.

Hannah studies Computer Science and chose the subject because of a love of learning how computers work and tinkering with them, which developed into a coding hobby and then a degree.

Ariana is an undergraduate on the University of Sheffield’s BSc Psychology course and has a passion for empirical technology-focused research.

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 University of Sheffield

Read case studies from researchers using the Bede supercomputer.

Paul talks about FLAME GPU 2, a development of the original open-source FLAME GPU software for agent-based modelling in complex systems.

Susan Fitzmaurice and Seth Mehl share the Linguistic DNA (LDNA) project, which has been exploring textual meaning by identifying lexical, semantic, and pragmatic patterns in over one billion words, across over 60,000 printed English documents from the 16th and 17th centuries.

We are excited to collaborate with the University of Sheffield on their Best Practices in AI Workshop