Content Providers
Content provider type: Project
and Keywords: Biostatistics or Cancer or Cloud Computing or RSE or birmingham
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UNIVERSE-HPC project
UNIVERSE-HPC project is developing and piloting the curriculum and necessary course materials to underpin a professional training programme in RSE and HPC, supported by cohort- and community-building activities, acting as a knowledge integration...
5 training materialsUNIVERSE-HPC project https://excalibur.ac.uk/projects/universe-hpc/ https://tess.elixir-europe.org/content_providers/universe-hpc-project [UNIVERSE-HPC project](https://excalibur.ac.uk/projects/universe-hpc/) is developing and piloting the curriculum and necessary course materials to underpin a professional training programme in RSE and HPC, supported by cohort- and community-building activities, acting as a knowledge integration hub for those with a stake in education and training for RSEs, including other [ExCALIBUR projects](https://excalibur.ac.uk/projects), those extending Carpentries training for HPC and RSE, and existing and future initiatives in this area. The project brings together partners with expertise in training from different areas: Edinburgh (EPCC MSc in HPC and Edinburgh Carpentries), Oxford (SABS R3 CDT and RSE group), Southampton (research software engineering and Carpentries), and Imperial (community building and RSLondon). -
EOSC4Cancer
EOSC4Cancer will make diverse types of cancer data accessible: genomics, imaging, medical, clinical, environmental and socio-economic. It will use and enhance federated and interoperable systems for securely identifying, sharing, processing and reusing FAIR data across borders and offer them via...
1 training material0 events (1 past event)EOSC4Cancer https://eosc4cancer.eu/ https://tess.elixir-europe.org/content_providers/eosc4cancer EOSC4Cancer will make diverse types of cancer data accessible: genomics, imaging, medical, clinical, environmental and socio-economic. It will use and enhance federated and interoperable systems for securely identifying, sharing, processing and reusing FAIR data across borders and offer them via community-driven analysis environments. EOSC4Cancer’s well curated data sets will be essential input for reproducible and robust analytics and computational methods – including machine learning and artificial intelligence. EOSC4Cancer’s five use cases will cover the patient journey from cancer prevention over diagnosis to treatment, laying the foundation of data trajectories and workflows for future European Cancer Mission projects. /system/content_providers/images/000/000/747/original/Logo-eosc-cancer-RGB-horizontal-STANDARD.png?1711439233