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Based on existing experience in creating, hosting and advertising plant science data challenges, thus data science problems and according benchmark data, we aim on connecting working groups who are interested to follow this concept and in the long term to organize a joint workshop and publication on 'Juelich Problems'.
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... | ... | @@ -42,4 +44,5 @@ All documents [[zip]](https://gitlab.version.fz-juelich.de/MLDL_FZJ/General_Wiki |
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* Jens Henrik Göbbert (JSC, IAS)<br>
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[Integration of Jupyter as a service to users of the HPC systems](https://gitlab.version.fz-juelich.de/MLDL_FZJ/General_Wiki/blob/master/files/18-11-08-WorkshopJuelichProblems/Impulse_Goebbert_Jupyther_for_data_access_and_analysis.pdf)
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