Content Providers
Keywords: AAI or Education or Machine Learning or Medicine or RSE or Toxicology
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CINECA PROJECT
CINECA’s aim is to deliver a federated infrastructure for data discovery and sharing of human genetic and phenotypic data for research that is interoperable across continents. CINECA [Common Infrastructure for National Cohorts in Europe, Canada and Africa] is funded by the European Union Horizon...
17 training materials0 events (3 past events)CINECA PROJECT https://www.cineca-project.eu/ https://tess.elixir-europe.org/content_providers/cineca CINECA’s aim is to deliver a federated infrastructure for data discovery and sharing of human genetic and phenotypic data for research that is interoperable across continents. CINECA [Common Infrastructure for National Cohorts in Europe, Canada and Africa] is funded by the European Union Horizon 2020 programme and the Canadian Institutes of Health Research. /system/content_providers/images/000/000/140/original/CINECA_logo.png?1589875546 -
OpenRiskNet
The main objective of OpenRiskNet is to develop an open e-Infrastructure providing resources and services to a variety of communities requiring risk assessment, including chemicals, cosmetic ingredients, therapeutic agents and nanomaterials.
OpenRiskNet is
* a virtual research environment for...0 events (10 past events)OpenRiskNet https://openrisknet.org/ https://86.50.228.192/content_providers/openrisknet The main objective of OpenRiskNet is to develop an open e-Infrastructure providing resources and services to a variety of communities requiring risk assessment, including chemicals, cosmetic ingredients, therapeutic agents and nanomaterials. OpenRiskNet is * a virtual research environment for predictive toxicology and chemical and nanomaterial risk assessment, * harmonising access to data and facilitating interoperability of software, * easily deployable to single computers, public and in-house cloud solutions, * addressing the needs of industry and academic researchers, risk assessors, regulators and informed public. OpenRiskNet (Grant Agreement 731075) is a 3-years project funded by the European Commission within the Horizon2020 Programme /system/content_providers/images/000/000/097/original/ORN-Web_Logo3.png?1533933310 -
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://86.50.228.192/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). -
VHP4Safety
Material from the Dutch VHP4Safety project.
3 training materialsVHP4Safety https://vhp4safety.nl/ https://tess.elixir-europe.org/content_providers/vhp4safety Material from the Dutch VHP4Safety project. /system/content_providers/images/000/000/688/original/6XmjhQ2C_400x400.jpg?1696237918 -
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://86.50.228.192/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 -
University of Ljubljana, Faculty of Medicine
Faculty of Medicine is part of University of Ljubljana, the oldest and largest institution of higher education in Slovenia. The faculty carries out research and provides training in the fields of medicine, dental medicine and life sciences.
University of Ljubljana, Faculty of Medicine https://www.mf.uni-lj.si/en https://tess.elixir-europe.org/content_providers/university-of-ljubljana-faculty-of-medicine Faculty of Medicine is part of University of Ljubljana, the oldest and largest institution of higher education in Slovenia. The faculty carries out research and provides training in the fields of medicine, dental medicine and life sciences. /system/content_providers/images/000/000/104/original/mf-znal.png?1539848321