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- PaN Training2
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Keyword
- FAIR
- PaNOSC3
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- data management2
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- Best practises1
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- docker container1
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- inelastic neutron scattering1
- inhibitors1
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- neutrinos1
- neutron diffraction1
- neutron scattering1
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- quantum topology1
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- scientific software1
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Competency level
- Not specified2
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Target audience
- scientists
- Researchers11
- Bioinformaticians9
- PhD candidates9
- data stewards8
- Life Science Researchers6
- Researcher in life sciences6
- Scientists6
- Data Managers5
- Data Scientists5
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- PaN Community3
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- ExPaNDS and PaNOSC project members2
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- bioinformaticians2
- software developers, bioinformaticians2
- Bioinformaticians, Biologists with little or no prior computational experience.1
- Biomedical researchers1
- ECR1
- General Interest1
- PhD Scholars, Graduates and Post Graduates, Professors, Associate Professors, Assistant Professors, Bio instruments Professionals, Bio-informatics Professionals, Directors, CEO’s of Organizations, Supply Chain companies, Manufacturing Companies, Software development companies, Research Institutes and members1
- PhD Students or young researchers in molecular biology and/or genetics with little or no background in bioinformatics.1
- PhD candidate1
- Photon Community1
- Policy makers1
- Postdocs and Staff members1
- Principal Investigators (PIs)1
- Research scientists1
- Support Staff1
- Technicians1
- The course is aimed at research scientists with a minimum of a degree in a biological discipline, including laboratory and clinical staff, as well as specialists in related fields.1
- This workshop is aimed at PhD students within the PhD programme "Genetics, Molecular and Cellular Biology" (University of Pavia) and the PhD programmme "Biomolecular Sciences and Biotechnology" (IUSS, University School for Advanced Studies Pavia.1
- biocurators1
- computational scientists1
- data librarians1
- database managers1
- neutron community1
- research data scientist1
- software engineers1
- standard developers1
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Resource type
- slides1
- tool1
- video1
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Related resource
- 2nd PaN EOSC Symposium1
- Jupyter Notebook1
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