Content Providers
Keywords: AI or EuBIC or MOOC or Nanotechnology or Proteomics or biomolecular or commons or infrastructure or metabolic profiling or metabolome or omics or protein prediction or protein subfamily analysis
-
UCL Engineering
Our research is shaping the future of engineering - and of society. Find out more about the impact we make.
0 events (2 past events)UCL Engineering https://bit.ly/3OzH0Vu https://tess.elixir-europe.org/content_providers/ucl-engineering Our research is shaping the future of engineering - and of society. Find out more about the impact we make. /system/content_providers/images/000/000/646/original/UCL_logo.png?1658853660 -
Open Science MOOC
Open Science MOOC is a mission-driven project to help make ‘Open’ the default setting for all global research. We want to help create a welcoming and supporting community, with good tools, teachers, and role-models, and built upon a solid values-based foundation of freedom and equitable access to...
1 training materialOpen Science MOOC https://opensciencemooc.eu/ https://tess.elixir-europe.org/content_providers/open-science-mooc Open Science MOOC is a mission-driven project to help make ‘Open’ the default setting for all global research. We want to help create a welcoming and supporting community, with good tools, teachers, and role-models, and built upon a solid values-based foundation of freedom and equitable access to research. /system/content_providers/images/000/000/101/original/31343113?1536821365 -
proteomicsML
ProteomicsML provides ready-made datasets for machine learning models accompanied by tutorials on how to work with even the most complex data types in the field of proteomics. The resource is set up to evolve together with the field, and we welcome everyone to contribute to the project by adding...
1 training materialproteomicsML https://proteomicsml.org/ https://tess.elixir-europe.org/content_providers/proteomicsml ProteomicsML provides ready-made datasets for machine learning models accompanied by tutorials on how to work with even the most complex data types in the field of proteomics. The resource is set up to evolve together with the field, and we welcome everyone to contribute to the project by adding new datasets and accompanying notebooks. ProteomicsML was set up as a joint effort of SDU, CompOmics, LUMC, PeptideAtlas, NIST, PRIDE, and MSAID. We believe that ProteomicsML is solid step forward for the field towards more open and reproducible science! /system/content_providers/images/000/000/676/original/proteomicsml-logo.png?1686658675
- 1
- 2