Jana Makar

Abstract graphic with binary numbers and rectangles.

Picture perfect HPC image analysis

Jingli Lu needed High Performance Computing (HPC) performance for hyperspectral image analysis. She had some HPC knowledge but when problems occurred, NeSI team members jumped in to help integrate new tools and troubleshoot her experience.
A cross-section of rock showing the ice-like gas hydrate embedded within it.

Exploring potential for new energy resources

"I am grateful to the NeSI team for assisting with the compilation of the TOUGH+HYDRATE code for this research."
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We are seeking a Senior HPC Cloud Platform DevOps Engineer to join our passionate team on a full-time, permanent basis. In this role, you will provide technical expertise and services to support th... Read more

Coastline view of the New Zealand town of Kaikoura. Image by alimison from Pixabay.

Understanding New Zealand’s ever-changing climate in an uncertain future

“We don’t know what is going to happen to New Zealand on a local scale with climate change unless we use high-resolution models. It shows you changes on a scale that actually affects you.”
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The Ministry for Business, Innovation and Employment (MBIE) has published a first tranche of the 903 submissions it received through its Te Ara Paerangi - Future Pathways Green Paper.Te Ara Paerang... Read more

Now in its third year, NeSI's annual New Zealand Research Software Engineering (NZ RSE) Conference continues to support and grow the community of those who write code and develop applications that ... Read more

We are entering the final stretch to deliver expanded capacity and capabilities for the Mahuika cluster. There are still a few key pieces of the puzzle to place, but over the last few months, we've... Read more

Horizon view of the ocean with the sun setting in the background

Computing Ocean Flow

"Nemoflux allows new users, unfamiliar with the specific model grid, to dive into model data and tackle their real world science questions."
Image similar to an x-ray showing the synapse networks of the brain.

Using automation to enable faster collection and analysis of MRI data

"The automated data transfer with scheduling and destination setting functions allowed us to send large data out to multiple depositories, allowing streamlined image analysis."