Community

NeSI provides a range of services, people, expertise, and information to help computational research projects become reality

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 this... Read more

Posted at Thursday, January 30, 2020 - 16:46

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 in... Read more

Posted at Thursday, January 30, 2020 - 16:39

Please join us in welcoming the newest member to the NeSI team!Attribution:  Kim Frew

Posted at Thursday, January 30, 2020 - 15:50
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... Read more

Thursday, January 30, 2020 - 12:00 to 13:00

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.

Tuesday, January 28, 2020 - 09:00 to Wednesday, January 29, 2020 - 16:30
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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As part of the NeSI and Genomics Aotearoa partnership to build and diversify digital skill capabilities for genomics researchers across New Zealand, NeSI was pleased to support Genomics Aotearoa’s... Read more

Posted at Thursday, December 19, 2019 - 13:40