Jana Makar

Join us for a Lunch 'n Learn webinar that shares our early access roll-out of new tools for easier and more adaptable collaboration around research data.NeSI has launched a Research Developer Cloud... Read more

NeSI has a brilliant opportunity for a research computing professional to lead our national Researcher Support Team. You will take on overall management and operational responsibility for the team ... Read more

View of a speaker talking to slides at the front of the room.

Entering a new era in genetic analysis

“We’re looking forward to be able to learn, discuss, try, and then pass this knowledge on.”

The Research Data Alliance (RDA) builds the social and technical bridges that enable open sharing and re-use of data. It is an international community-driven, member-based organisation focused on t... Read more

NeSI has an exciting opportunity available to join our team as a Research Communities Advisor, a critical role within NeSI enabling various Partnerships into the research sector. Applications must ... Read more

Thank you to everyone who contributed to the efforts to build an initial macro view of research data in Aotearoa.We were very excited to share preliminary results with contributing institutions ear... Read more

In July 1998, a workshop was held at Los Alamos National Laboratory to teach researchers how to work more effectively with their data. Today, 25 years later, the idea behind that workshop has grown... Read more

Another New Zealand Research Software Engineering (NZ RSE) Conference has come to a close, gathering a diverse community to share learnings, challenges and aspirations around writing code and devel... Read more

Earlier this month, Professor Cristin Print was celebrated with a World Class Award at the Kea World Class Awards dinner.Cris’ work in data-intensive molecular work and gene discovery within whole ... Read more

Mean distributions of biomass density of two tuna populations with contrasted life history and spatial dynamics, predicted by the reference SEAPODYM models.

Fishing for parallelisation strategies

"This work is the first phase of the SEAPODYM parallelization project, and given the very encouraging results and perspectives, I will be looking forward to continuing our collaboration."
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