In 2020 NeSI will be continuing to hold online ‘Genomics on NeSI’ hacky hours.  These one-hour sessions will be held monthly for any genomics researcher using NeSI, whether you are early in your jo... Read more

On January 30th Callum Walley, a member of NeSI’s Applications Support team, presented a webinar on troubleshooting.  Having helped numerous people overcome job submission obstacles, Callum used th... Read more

Last October, multiple NeSI team members travelled to Brisbane to participate in the 2019 eResearch Australasia conference programme, themed 'eResearch Diversity'.Since then, NeSI has participated ... Read more

Please join us in welcoming the newest member to the NeSI team!Attribution:  Kim FrewKim joins the NeSI team’s Auckland office as Science Engagement Manager whilst Georgina Rae is on parental leave... Read more

NeSI Genomics Aotearoa Metagenomics Summer School

A partnership approach to building skills in New Zealand's genomics research sector

Together, NeSI and Genomics Aotearoa have the domain knowledge, technical skills, and motivation to address the skills gap facing New Zealand’s genomics and bioinformatics sector.

Coding can be tricky and frustrating, which is why NeSI’s first Quick tips webinar of 2020 will cover troubleshooting on NeSI.  According to Wikipedia, troubleshooting is “a logical, systematic sea... Read more

Genomics Aotearoa (GA) and New Zealand eScience Infrastructure (NeSI) will be running a Genomics Data Carpentry workshop on January 28-29 at the University of Auckland City Campus. The Carpentries ... Read more

NeSI Case Study Cyprien Bosserelle NIWA

A fast model for predicting floods and storm damage

"Rendering this grid in the traditional way is not trivial – it would take longer to render the result than run the model each time I wanted to find errors. I approached NeSI and we started talking about visualisation."
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NeSI Case Study Yoshihiro Kaneko GNS Science Hikurangi

How multithreading and vectorisation can speed up seismic simulations by 40%

GNS Science researchers are producing detailed images of the 3D structure and geometry of the Hikurangi mega-thrust region using a technique called seismic tomography.
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NeSI case study Giacomo Giorli NIWA

Machine learning for marine mammals

“By understanding the abundance and distribution of different marine mammals in New Zealand, we can inform conservation policy, management of marine resources, licensing for offshore activity and create better environmental impact assessments.”
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