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CoDaS-HEP

The school on Computational and Data Science for High Energy Physics (CoDaS-HEP) was created to fill a void in the training of graduate students and postdocs working in HEP. Training young researchers in the latest computational tools and techniques is essential to their future careers in both research and industry. To be successful today’s grad students require a mix of particle physics domain knowledge and advanced software skills. Relevant computing topics are however often missing from traditional physics coursework and, as young researchers begin their active research careers, they discover the need for these skills, but are no longer in a position to follow such courses.

Type

Organisation

Keywords

computational, data science, parallel programming, machine learning

Contact

codas-hep@googlegroups.com.
CoDaS-HEP https://codas-hep.org/ https://training.cern.ch/content_providers/codas-hep The school on Computational and Data Science for High Energy Physics (CoDaS-HEP) was created to fill a void in the training of graduate students and postdocs working in HEP. Training young researchers in the latest computational tools and techniques is essential to their future careers in both research and industry. To be successful today’s grad students require a mix of particle physics domain knowledge and advanced software skills. Relevant computing topics are however often missing from traditional physics coursework and, as young researchers begin their active research careers, they discover the need for these skills, but are no longer in a position to follow such courses. /system/content_providers/images/000/000/006/original/codas-hep.png?1763479730

Owner

krioja (Kenneth Rioja)
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