Past Events

PILOT N8CIR-WHPC Tech Triaging Workshop

If you are a technologist, developer, data scientist, engineer, or researcher who enjoys solving real‑world technical challenges, this is the event for you!

Fluid Environments & Spatial Humanities

Bringing together scholars from across the N8 network and beyond, this workshop day explores how environments shaped by water - rivers, shorelines, embankments, irrigation systems, wetlands, and other dynamic landscapes and atmospheres - can be studied, modelled, and interpreted through spatial and digital methods

Child of the North Data Showcase

Child of the North, in partnership with the N8 Centre of Excellence for Computationally Intensive Research (N8 CIR) and the Northern Health Science Alliance (NHSA), will host a one‑day workshop in Manchester focused on Special Educational Needs and Disabilities (SEND) and the power of connected data.

Spatial Data and Mapping in R

Sign up to develop your skills in R to analyse geospatial data

N8CIR RSE Leaders & Aspiring Leaders Meeting

This is a 2-part in-person workshop held at the University of Leeds.

From Overload to Clarity: Tools for Sustainable RSE Practice

Explore how user-centric design and systems thinking can help cut through complexity, reduce overwhelm & amplify your impact.

N8 Online Research Technical Professional Recruitment and Diversity Sandpit

Sign up to join our meeting to inform future strategies to support inclusive and effective recruitment in dRTP across the N8 universities.

Insigneo/Sano Modelathon: Computational modelling to improve management of ischaemic stroke

The Modelathon is back! 

Based on the concept of a hackathon, where different teams work on a challenging problem to ‘hack’ computer code, the Modelathon uses computational modelling and simulation rather than ‘hacking’.

Best Practices in AI

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

Working with and Managing Sensitive Research Data

This FREE one-day workshop will focus on the challenges and complexities of working with sensitive data.

3D Printing Cultural Heritage for Outreach and Dissemination

Dive into the world of 3D printing and cultural heritage - discover the magic behind the scenes!

Message-Passing Programming with MPI

As part of the ARCHER2 national supercomputer service, EPCC is running this face-to-face hands-on course at the University of Leeds on Monday 18th - Tuesday 19th August, 2025.

FTorch: a library for coupling PyTorch models to Fortran

A presentation by Dr Jack Atkinson, co-hosted by N8 CIR and Leeds Institute for Data Analytics' (LIDA) Scientific Machine Learning (SciML) group. This event is HYBRID and available in-person and online (MS Teams).

Trusted Research Environments Consultation

Join a vibrant, solutions-focused gathering designed to bring together all those engaged in or curious about Trusted Research Environments. Whether you're a provider, expert, support team member, or user, this event invites your voice in shaping the regional vision for TREs.

N8CIR RSE Annual Meetup

Join us for an annual meeting of RSE professionals across the N8 Universities to exchange experiences and discuss relevant community topics

Multi-Spectral Imaging on a Budget Workshop

Eddie Meehan (DCCH) and Jordan Poole (University of Liverpool) will jointly run a workshop on Wednesday 2nd July on low-cost multi-spectral imaging of cultural heritage artefacts.

Virtual Residency 2025 Summer Workshop

The University of Oklahoma is hosting a multiple day free online workshop series for research computing professionals

Investigating Human and AI Creativity and Imitation

The one-day symposium explores how AI may transform our understanding of what it means to imitate language, image and creative expression and can be attended in-person or online

Workshop and Lecture: Lauren Tilton & Taylor Arnold, Distant Viewing & the Multimodal Turn

How do computers view? How can we harness AI to view images at scale?

Neural Networks with Pytorch

This workshop series introduces participants to PyTorch and its applications in deep learning over 5 weeks.