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Keyword
- Data managment plan3
- Assembly1
- metabolic modelling, Genome, open-source software platform1
- Biodata, Bioinformatics, Biodata1
- EeLP1
- Gadgets, software 1
- Machine Learning, Introductory, Novice / Entry-level, Supervised learning, Unsupervised learning, Principal Component Analysis, K-means, Hierarchical Clustering, Decision Trees, Random Forest, Regression1
- Training1
- eLearning1
- genomics1
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Scientific topic
- Data management3
- Metadata management3
- Research data management (RDM)3
- Active learning1
- Ensembl learning1
- Exomes1
- Genome annotation1
- Genomes1
- Genomics1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Neural networks1
- Personal genomics1
- Recommender system1
- Reinforcement learning1
- Supervised learning1
- Synthetic genomics1
- Unsupervised learning1
- Viral genomics1
- Whole genomes1
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Venue
- Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande2
- University of Minho - Campus of Gualtar, Rua da Universidade2
- Champalimaud Foundation, Avenida Brasília1
- ITQB NOVA, Avenida da República1
- Instituto Gulbenkian de Ciência1
- Instituto de Medicina Molecular (IMM), Avenida Professor Egas Moniz1
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Country
- Portugal
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Sponsor
- ELIXIR1
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Target audience
- PhD students4
- Life Science Researchers3
- Master students3
- Technicians3
- Institutions and other external Institutions or individuals1
- Researchers in Life Sciences1
- health professionals1
- studies human diseases or developmental biology1
- Biologists, Genomicists, Computer Scientists1
- Biomedical researchers1
- Clinical Scientists1
- Industry1
- PhD Students1
- Researchers1
- Scientists1
- biocurators1
- bioinformaticians1
- biology and bioinformatics sophomore undergraduates1
- everyone who is interested in learning to use metabolic modelling in their research, using user-friendly tools. No programming skills are required.1
- life scientists1
- plant researchers1
- post-docs1
- software developers, bioinformaticians1
- students1
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Eligibility
- Registration of interest7
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