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Content provider
- ELIXIR Portugal2
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Scientific topic
- Active learning1
- Bayesian methods1
- Biostatistics1
- Descriptive statistics1
- Ensembl learning1
- Gaussian processes1
- Inferential statistics1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Markov processes1
- Multivariate statistics1
- Neural networks1
- Probabilistic graphical model1
- Probability1
- Recommender system1
- Reinforcement learning1
- Statistics1
- Statistics and probability1
- Supervised learning1
- Unsupervised learning1
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Event type
- Workshops and courses2
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- Portugal2
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Organizer
- Pedro Fernandes2
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- ELIXIR1
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Target audience
- post-docs
- PhD students14
- Life Science Researchers13
- Master students9
- Researchers9
- Technicians9
- life scientists5
- bioinformaticians3
- Biologists and bioinformaticians who are dealing with high-throughput gene expression data or other high-throughput data and would like to learn state-of-the-art methods for mining and analysing such data.2
- Biologists, Genomicists, Computer Scientists2
- PhD Students2
- Institutions and other external Institutions or individuals1
- Researchers in Life Sciences1
- health professionals1
- studies human diseases or developmental biology1
- Bioinformaticians1
- Bioinformaticians and wet-lab biologists who can program in Perl.1
- Biologists and bioinformaticians. The course will be of particular interest to researchers investigating organisms without a reference genome or populations featuring high levels of genetic diversity.1
- Biomedical researchers1
- Clinical Scientists1
- Drug resistance1
- Graduate Students1
- Industry1
- Microbiologists1
- Postdoctoral Researchers1
- Scientists1
- This course is oriented towards biologists and bioinformaticians. The course will be of particular interest to researchers investigating organisms without a reference genome or populations featuring high levels of genetic diversity.1
- This training course is aimed at researchers who are not expert in proteomics and want to integrate quantitative proteomics results into wider biomedical experiments.1
- biocurators1
- biology and bioinformatics sophomore undergraduates1
- computational and statistical techniques are used to identify and validate the causal links between targets1
- everyone who is interested in learning to use metabolic modelling in their research, using user-friendly tools. No programming skills are required.1
- experimental researchers and bioinformaticians at the graduate and post-graduate levels1
- healthcare professionals 1
- oncologists1
- plant researchers1
- 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
- software developers, bioinformaticians1
- students1
- teachers1
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- Registration of interest1
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