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Content provider
- IFB French Institute of Bioinformatics1
- de.NBI1
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Keyword
- BIoinformatics1
- Bioinformatic databases1
- CWL1
- FAIR1
- Introduction bioinformatics1
- Introduction rna seq analysis1
- Introduction to HPC1
- Introduction to Unix1
- Introduction to Version Control1
- Nextflow1
- R-programming1
- Snakemake1
- WES1
- WESkit1
- Workflows1
- bioinformatics1
- biostatistics1
- machine learning1
- nf-core1
- omics data1
- workflUX1
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Scientific topic
- Active learning1
- Bioinformatics1
- Ensembl learning1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Neural networks1
- Pipelines1
- Recommender system1
- Reinforcement learning1
- Software integration1
- Supervised learning1
- Tool integration1
- Tool interoperability1
- Unsupervised learning1
- Workflows1
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Event type
- Workshops and courses3
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Country
- Greece1
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Target audience
- PhD students
- Master students3
- post-docs3
- Operators, developers and managers of bioinformatics resources2
- Researchers2
- Academia1
- Academia/ Research Institution1
- ELIXIR members1
- Industry professionals, and people with a keen interest in the subject.1
- Investigators and researchers working in all areas of the life sciences.1
- Mainly graduate students and Junior post-docs, of either experimental or computational background, with basic training in life sciences, or (bio)chemistry, or physics, or mathematics, or engineering1
- PhD Students1
- PhD candidates1
- PostDocs1
- Professors1
- Scientists1
- Technicians1
- This course is designed for scientists with some to little or no teaching experience1
- This course is intended for master and PhD students, post-docs and staff scientists familiar with different omics data technologies who are interested in applying machine learning to analyse these data. No prior knowledge of Machine Learning concepts and methods is expected nor required1
- Undergraduate students1
- beginner bioinformaticians1
- bioinformaticians1
- intermediate bioinformaticians1
- students1
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Language
- English1
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