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4 content providers found

Keywords: CloudStor  or Bioinformatics 


  • Australian BioCommons

    Australian BioCommons is a research infrastructure project building digital capability for life...

    83 training material
    2 upcoming event (38 past event)
    Australian BioCommons https://dresa.org.au/content_providers/australian-biocommons Australian BioCommons is a research infrastructure project building digital capability for life science research in Australia. /system/content_providers/images/000/000/002/original/Australian-Biocommons-Logo-Horizontal-RGB.jpg?1690164326
  • Melbourne Bioinformatics

    Melbourne Bioinformatics is hosted within the Faculty of Medicine, Dentistry & Health Sciences at...

    0 upcoming event (9 past event)
    Melbourne Bioinformatics https://dresa.org.au/content_providers/melbourne-bioinformatics Melbourne Bioinformatics is hosted within the Faculty of Medicine, Dentistry & Health Sciences at the University of Melbourne. Our services include development and delivery of training material, tool development, research and expert advice. /system/content_providers/images/000/000/020/original/PRIMARY_A_Vertical_Housed_RGB.png?1661319332
  • AARNet

    AARNet is a not-for-profit company that provides ultra high-speed internet, cyber security, data...

    4 training material
    AARNet https://dresa.org.au/content_providers/aarnet AARNet is a not-for-profit company that provides ultra high-speed internet, cyber security, data and collaboration services to meet the unique needs of Australia's research and education sector. We focus on empowering researchers and educators to make the most of digital technologies through the training and support initiatives we offer. /system/content_providers/images/000/000/003/original/AARNet__logo_withtag_mono.png?1633403679
  • 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://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