3 content providers found
Keywords: data infrastructure or transformational or Deep learning or Climate projections
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Australian Research Data Commons (ARDC)
The Australian Research Data Commons (ARDC) enables the Australian research community and...
117 training material3 upcoming event (122 past event)Australian Research Data Commons (ARDC) https://ardc.edu.au/ https://dresa.org.au/content_providers/australian-research-data-commons-ardc The Australian Research Data Commons (ARDC) enables the Australian research community and industry access to nationally significant, data intensive digital research infrastructure, platforms, skills and collections of high quality data. As a national research infrastructure provider, the ARDC facilitates partnerships to develop a coherent research environment that enables researchers to find, access, contribute to and effectively use services to maximise research quality and impact. /system/content_providers/images/000/000/001/original/ARDC_Docusign_logo_-_296_x_76px_.png?1627455958 -
EcoCommons
A Planet RDC project, EcoCommons is building a collaborative commons that is developing...
8 training materialEcoCommons https://www.ecocommons.org.au/ https://dresa.org.au/content_providers/ecocommons A Planet RDC project, EcoCommons is building a collaborative commons that is developing ecological modelling tools. It currently provides; access to point-and-click species distribution modelling (SDM) tools, projections of how those distributions might change as the climate warms, access to a variety of spatial data grids (rasters), and API connection to records from the Atlas of Living Australia. /system/content_providers/images/000/000/034/original/ecocommons-logo.png?1711521620 -
Sonika Tyagi Lab
Our expertise is in implementing Bioinformatics methods and machine learning models to solve...
0 upcoming event (2 past event)Sonika Tyagi Lab https://bioinformaticslab.erc.monash.edu/ https://dresa.org.au/content_providers/sonika-tyagi-lab Our expertise is in implementing Bioinformatics methods and machine learning models to solve biological research and clinical outcome questions. The two research focus areas for the group are: (1) Multimodal data integration for personalised medicine and (2) Integrative Genomics. /system/content_providers/images/000/000/027/original/DF0_7341.JPG?1693372847