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- bioinformatics
- DMP6
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- AlphaFold1
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- Machine Learning, Introductory, Novice / Entry-level, Supervised learning, Unsupervised learning, Principal Component Analysis, K-means, Hierarchical Clustering, Decision Trees, Random Forest, Regression1
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- Bayesian methods1
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- Oslo1
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- Norway1
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- NORBIS1
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Target audience
- Post Docs
- PhD students8
- Researchers6
- Biologists4
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- Cette formation est destinée aux biologistes (ingénieurs, doctorants, chercheurs, enseignants-chercheurs, praticiens…) confrontés à l’analyse de données NGS, et qui ne disposent pas des compétences bioinformatiques suffisantes.2
- post-docs2
- Academics1
- Anyone intersted in GWAS and using the H3Africa genotyping chip1
- Anyone who wants to learn more about GWAS1
- Beginners who have very little background in using the command line and are enthusiastic to learn more1
- Bioinformaticians1
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- People from any area with little or no prior computational experience1
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- The course is open to scientists of all age from academia, health care and industry. Level approximately corresponding to PhD student or postdoc depending on experience. Applicants welcome from Sweden, the Nordics, and other countries.1
- This workshop is aimed at researchers who are either generating or integrating molecular interaction data in their research. This could be protein-protein interaction as well as protein-RNA1
- bioinformaticians1
- data managers1
- life scientists1
- post-doctoral researchers and principle investigators working in wet-lab biology. Participants who are looking for a basic introduction to the bioinformatics resources offered by the EMBL-EBI and want to know more about accessing biological data and tools.1
- postdoc1
- postdocs1
- postdocs.1
- postdoctoral researchers1
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