NeSI held its last training webinar of 2019 this week. There Alex Pletzer, a member of our Computational Science team, demonstrated how you can replace for loops with a single array operation to speed up your code-- a technique known as vectorisation.
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NeSI team members were among more than 150 of Australia's computational and data scientists who gathered in Canberra from 6-8 November 2019 for the inaugural Australasian Leadership Computing Symposium (ALCS).
Since wrapping up the last session of NeSI's 'Quick Tips' webinar series earlier this month, we have gathered some highlights from this pilot initiative and are asking the research community to help us plan the next round of webinars for 2020. HighlightsRunning from August to November 2019, the ‘Quick Tips’ series had 103 total registrants and 46+ attendees from across NZ. We had registrants from all major universities, four CRIs, four CoREs, and a spattering of other private and government organizations.
NeSI held its last webinar of the 'Quick Tips' webinar series this week. Here, NIWA researcher Dr. Cyprien Bosserelle talked about the development of his inundation model and his journey predicting and visualising inundation (flood) patterns using NeSI’s HPC Platform. These visualisations often play an important role in hazard assessments and forecasting, but can be challenging to generate with traditional software.
As part of this year's Figshare Fest NZ event, NeSI Data Product Manager Brian Flaherty was among the invited speakers sharing case study examples and solutions developed for some of today's research data management challenges.
Multiple NeSI team members travelled to Brisbane, Australia this month to participate in the 2019 eResearch Australasia conference programme, delivering sessions and participating on panels and working groups on topics of community building, digital skills training, and research data management.
On 02 October, the Ministry of Business, Innovation & Employment (MBIE) announced $6 million of new funding to be allocated to programmes that encourage diversity in science over the next four years. The announcement said MBIE wants to remove the barriers that are slowing down progress in this space and ensure that equity, diversity and inclusion initiatives are prioritised.
NeSI and NIWA are seeking a data scientist or data science engineer to work closely with researchers from a wide range of disciplines such as social, biological, environmental, biomedical and materials science and engineering.The position involves advising and assisting researchers with processing and analysing their datasets efficiently on the advanced HPC platforms and helping them build and optimise complex data pipelines, models, and workflows. You will represent NIWA and NeSI as data science authorities in national and international communities.
On November 6-8, the 2019 Australasian Leadership Computing Symposium (ALCS) is gathering communities from across Australasia to share knowledge and practice within high performance computing (HPC) and high performance data (HPD), as well as across research areas such as astronomy, genomics, geosciences, climate and weather, and materials science.
Data science and machine learning in research emerge as top themes at 2019 Science Coding Conference
This September was the first time NeSI hosted its Science Coding Conference at the University of Canterbury in the garden city of Christchurch. The event was held over 2 days (5th and 6th of September) and a full day of workshops the day before (4th September).
