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Organizer
- Cambridge Healthtech Institute20
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- IFB Core (https://www.france-bioinformatique.fr/), IFB-core ()3
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- IDSA\, SHEA\, HIVMA and PIDS1
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Target audience
- PhD students40
- Industry30
- Academics29
- Graduate students29
- PhD29
- Researchers12
- life scientists8
- Life Science Researchers6
- Master students3
- 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
- PhD candidates2
- post-docs2
- 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.2
- Institutions and other external Institutions or individuals1
- health professionals1
- studies human diseases or developmental biology1
- Beginners in statistics1
- Biologists1
- Biomedical researchers1
- Clinical Scientists1
- Graduate Students1
- PhD students, postDoc and PIs in Life Sciences, Biomedicine and Bioinformatics with little or no knowledge of network biology tools, who are interested in learning how to apply such tools in their research.1
- Postgraduate students1
- Research Assistants and Research Associates1
- Scientists1
- Technicians1
- This course is suited for whoever is interested in becoming a trainer/instructor, or improving their training skills. If you have questions like the following ones, this course may be very helpful to you. How learning works? How can I use learning principles and theories to improve my teaching/training? How can I make my teaching/training more engaging and effective? How should I adjust my teaching/training to different types of learners? How can I assess whether my students are actually understanding my lessons? Are they actually learning? What is the best balance between theory and practice? How can I best assess whether learning is occurring and/or has occurred? What works in a classroom and what doesn’t?1
- Undergraduate students1
- You change scripts written by your colleagues.1
- You overall want to become more efficient at your work, by using the best possible tools.1
- You wish you could automate your work better.1
- You wish you could re-run your own code after a few months.1
- You wish you could reproduce your own results better.1
- You write code that is used in research by you or others.1
- You write scripts to process data.1
- You, or your group, can't share or reuse code.1
- beginner bioinformaticians1
- biocurators1
- biology and bioinformatics sophomore undergraduates1
- computational and statistical techniques are used to identify and validate the causal links between targets1
- data librarians1
- data managers1
- data stewards1
- life science industry1
- oncologists1
- plant researchers1
- software developers, bioinformaticians1
- students1
- teachers1
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