Content Providers
Content provider type: Organisation
and Keywords: EXCELERATE or Machine Learning or Reproducibility or Statistical modelling or Training or data management
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ELIXIR Norway
6 training materials0 events (22 past events)ELIXIR Norway http://elixir-norway.org https://tess.elixir-europe.org/content_providers/elixir-norway /system/content_providers/images/000/000/087/original/elixir_norway_white_background.png?1530281111 -
ELIXIR Slovenia
Slovenian national ELIXIR node
5 training materials0 events (19 past events)ELIXIR Slovenia https://elixir.mf.uni-lj.si https://tess.elixir-europe.org/content_providers/elixir-slovenia Slovenian national ELIXIR node /system/content_providers/images/000/000/103/original/ELIXIR_SLOVENIA_white_background.png?1544083070 -
The Center for Professional Innovation and Education
CfPIE is a leading provider of quality training for the life sciences industry. For nearly 15 years, the world’s biggest brands and companies in the pharmaceutical, biotechnology, medical device, and skin/cosmetics markets have relied on our on-site and classroom courses.
We are dedicated to...
0 events (7 past events)The Center for Professional Innovation and Education https://www.cfpie.com https://tess.elixir-europe.org/content_providers/the-center-for-professional-education-and-innovation CfPIE is a leading provider of quality training for the life sciences industry. For nearly 15 years, the world’s biggest brands and companies in the pharmaceutical, biotechnology, medical device, and skin/cosmetics markets have relied on our on-site and classroom courses. We are dedicated to helping companies improve their performance in various business functions, including regulatory, product development, go-to-market, compliance, and more. We are also committed to helping individuals at these companies grow their careers and improve their knowledge bases. /system/content_providers/images/000/000/079/original/CfPIE_Logo_230x70.jpg?1501710748 -
FAIRDOM
Research Infrastructure supporting life scientists in managing their data and models FAIRly. Specifically designed for interdisciplinary research such as systems biology, systems medicine, and synthetic biology.
0 events (2 past events)FAIRDOM https://fair-dom.org/ https://tess.elixir-europe.org/content_providers/fairdom Research Infrastructure supporting life scientists in managing their data and models FAIRly. Specifically designed for interdisciplinary research such as systems biology, systems medicine, and synthetic biology. /system/content_providers/images/000/000/100/original/Screen_Shot_2018-09-06_at_15.54.17.png?1536245244 -
Seqera Labs
Founded by the creators of Nextflow, Seqera Labs mission is to foster the adoption of professional open source software and strengthen the community effort around the Nextflow ecosystem.
We organize training events for your team or organization. These are intended for...
0 events (1 past event)Seqera Labs http://www.seqera.io https://tess.elixir-europe.org/content_providers/seqera-labs Founded by the creators of [Nextflow](http://www.nextflow.io), Seqera Labs mission is to foster the adoption of professional open source software and strengthen the community effort around the Nextflow ecosystem. We organize training events for your team or organization. These are intended for anyone who wishes to learn about the technology, starting from basic through to advanced concepts. Our most popular intensive two-day course includes topics on containerization, cloud deployment, Git integration and best practices for reproducibility. /system/content_providers/images/000/000/111/original/Seqera_Labs_-_grey.png?1553771707 -
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