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Scientific topic
- Population genomics1
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- Workshops and courses1
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Country
- Italy
- Belgium1
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Target audience
- Post-Docs
- Anyone who wants to become a teacher / trainer or a better one3
- PhD students3
- bioinformaticians3
- Bioinformaticians2
- Biologists2
- Biologists with little or no prior computational experience2
- Biologists, Genomicists, Computer Scientists2
- Evolutionary Biologists2
- PhD Students or young researchers in molecular biology and/or genetics with little or no background in bioinformatics. 2
- PhD and graduate students, young researchers and PIs in the life science and computational biology field2
- teachers / trainers2
- PhD students1
- rare disease patients representatives1
- Bioinformatics beginners 1
- Biomedical researchers1
- Clinicians1
- Computational biologists1
- DevOps in any field1
- Developers1
- Early/mid-career stage researchers with a solid understanding of molecular biology and RNA sequencing, but no prior experience with Nanopore sequencing is required.1
- Investigators and researchers working in all areas of the life sciences.1
- Life Science Researchers1
- Master students1
- Masters students1
- People from any area with little or no prior computational experience1
- PhD Students1
- PhD students and young researchers in the life science and computational biology field who are planning to use RNA-seq data and are looking for the best practices to analyze these types of data1
- PhD students, computer scientists, bioinformaticians and developers who need to maintain/extend existing tools or develop new tools for Galaxy. 1
- 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
- Post-Doctoral Fellows1
- Research scientists1
- Researchers1
- Researchers involved or embarking upon bioinformatic analysis in metagenomic projects1
- Structural biologists1
- The BioExcel school is intended for primarily PhD and post-doctoral researchers using or planning to use biomolecular modeling and simulation in their everyday research. Familiarity with Linux and basic knowledge of molecular modelling software is a requirement.1
- This course is aimed at researchers at any career stage within the University of Pavia and Institute of Molecular Genetics who are working with and/or generating their own genomic and biomolecular datasets. No knowledge of programming is required, but an undergraduate level knowledge of Biology / molecular biology would be beneficial.1
- Trainers1
- beginner bioinformaticians1
- biological data analysts1
- biologists1
- database managers1
- early-career researchers1
- evolutionary biologists who already have bioinformatics skills. PhD students and Post-Doc researchers will benefit the most out of this course, but applications from all candidates will be evaluated in their context1
- healthcare professionals1
- life scientists1
- medical specialists1
- post-docs1
- registry curators1
- teachers1
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