2 materials found

Keywords: high-performance computing  or Rare Diseases 

and

Resource type: e-learning 


Eurordis Open Academy

The EURORDIS Open Academy currently encompasses the Winter School on Scientific Innovation and Translational Research, the Summer School on Medicines Research and Development, the Leadership School and the Digital School

Scientific topics: Rare diseases

Keywords: Rare Diseases & Research, Rare Diseases

Resource type: course materials, e-learning

Eurordis Open Academy http://tess.elixir-uk.org/materials/eurordis-online-trainning-modules The EURORDIS Open Academy currently encompasses the Winter School on Scientific Innovation and Translational Research, the Summer School on Medicines Research and Development, the Leadership School and the Digital School Rare diseases Rare Diseases & Research, Rare Diseases Patient Advocates Life Science Researchers Biomedical researchers
High Performance Computing (HPC) in Life Sciences

High-throughput sequencing data analysis requires new technical competencies and HPC is one of them. SIB has developed an e-learning module in HPC, as part of the ELIXIR-EXCELERATE project. e-learning has the potential to reach a wider audience, in any location and any time, and can be used...

Scientific topics: Biology, Bioinformatics, Computer science

Keywords: High performance computing, high-performance computing

Resource type: Tutorial, Slideshow, e-learning

High Performance Computing (HPC) in Life Sciences http://tess.elixir-uk.org/materials/high-performance-computing-hpc-in-life-sciences High-throughput sequencing data analysis requires new technical competencies and HPC is one of them. SIB has developed an e-learning module in HPC, as part of the ELIXIR-EXCELERATE project. e-learning has the potential to reach a wider audience, in any location and any time, and can be used either as the electronic component of a blended training format or as a self-running learning product. Biology Bioinformatics Computer science High performance computing, high-performance computing PhD students All postgraduates Life Science Researchers