- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Keyword
- FAIR
- Bioinformatics2
- Cloud computing2
- Command line2
- Data analysis2
- HPC2
- Shell2
- Amazon Web Services1
- Data Analysis1
- FAIR Research1
- Genomics1
- High performance computing1
- Metadata1
- Open Science1
- Programming1
- Python1
- Python biologists1
- Repositories1
- Reproducibility1
- Sequence Analysis1
- Software1
- Tidy data1
- bioinformatics1
- genomics1
- Show N_FILTERS more
-
-
-
Difficulty level
- Beginner2
- Show N_FILTERS more
-
-
-
Target audience
- PhD Students
- PhD candidates7
- Bioinformaticians6
- Researcher in life sciences6
- Data Managers5
- Data Scientists5
- Research Scientists5
- Scientists5
- Biomedical Researchers4
- Life Science Researchers2
- Ontologists2
- Bioinformaticians, Biologists with little or no prior computational experience.1
- Biomedical researchers1
- Clinicians1
- ECR1
- 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
- Post Docs1
- Postdocs and Staff members1
- Principal Investigators (PIs)1
- Research scientists1
- Researchers1
- 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
- Show N_FILTERS more
-
-
-
Collection
- PINK project1
- Show N_FILTERS more
-
-
-
Status
- Active
- Show N_FILTERS more
-
- Show archived materials
