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Get help - at your own university

A national collaboration between the universities and DeiC ensures that all researchers at Danish universities have access to a digital research infrastructure.

As part of the national collaboration, HPC and data management guidance and support are provided at each of the eight universities to their own researchers.

Revised
24 Sep 2024

Use cases

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Jakob Bæk Kristensen - Deic
Foto: DeiC
04 Jan 2024
Video use case: How to analyze 919 million SoMe posts
By using HPC resources researcher Jakob Bæk Kristensen and his group investigates how alternative news are shared and spread on social media across Europe.
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Adela - deic conference
Foto: DeiC
03 Jan 2024
Video use case: DeiC Interactive strengthens teaching in digital methods
Historian Adela Subotkova teaches history students at the University of Aarhus in digital methods. For her, DeiC Interactive has become an essential tool that has significantly facilitated and improved teaching.
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Kristian Sommer Thygesen - DeiC
Foto: DeiC
18 Dec 2023
Video use case: Unleashing the power of LUMI
In 2023 a LUMI grand challenge allowed Professor of Theoretical physics Kristian Sommer Thygesen and his team to calculate the electronic structure of 10.000 materials.
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Rebeka Baglini
Foto: interactivehpc.dk
11 Dec 2023
Supercomputing drives deeper insight into Linguistics and social media
DeiC Interactive HPC has become an integral part of both research and teaching for Associate Professor in Linguistics Rebekah Baglini at Aarhus University’s Interacting Minds Centre.
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Rolf Lyneborg Lund
Foto: DeiC
06 Dec 2023
Video use case: HPC enlightens researchers in social sciences and humanities about human behavior.
Sociologist Rolf Lyneborg Lund has trained an image AI using DeiCInteractive, which can help us understand how people perceive the concepts of "good" and "bad" neighborhoods.
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Rob van der Groot
Foto: DeiC
06 Dec 2023
Video use case: HPC-powered tool turbocharges NLP learning
Using a new tool called MaChAmp, researchers from the IT University can train language models on multiple datasets and solve multiple types of NLP tasks simultaneously.