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  • eLife Innovation Leaders 2020

    1 February - 30 June 2020

    eLife Innovation Leaders 2020 https://tess.elixir-europe.org/events/elife-innovation-leaders-2020 *eLife Innovation Leaders* is a 14-week mentorship and open leadership training programme designed for innovators developing open-source tools and projects for open research communication. Key takeaways: - A personalised experience with one-on-one mentorship - A shared co-learning journey - Theory and practice in project design, community engagement, and more - Opportunities to be supported beyond the programme The programme will take place between February and June 2020. We invite you to find out more and apply by December 8 here: [elifesci.org/innovationleaders](https://elifesci.org/innovationleaders) If you have any specific requirements to enable your participation, please don't hesitate to let us know through the application form or through email, we're happy to discuss potential arrangements. 2020-02-01 09:00:00 UTC 2020-06-30 23:59:00 UTC Emmy Tsang, Innovation Community Manager @ eLife [] Emmy at innovation [at] elifesciences [dot] org [] research software engineers and research data managers working with ELIXIR-supported tools and resourcestool authorssoftware developers, bioinformaticians workshops_and_courses [] Open scienceopen sourceCommunication
  • Introduction to Python for Biologists

    2 - 6 March 2020

    Liverpool, United Kingdom

    Introduction to Python for Biologists https://tess.elixir-europe.org/events/introduction-to-python-for-biologists-789ef24a-854b-40c2-86b6-398ac0ef9cbd 2020-03-02 09:00:00 UTC 2020-03-06 17:00:00 UTC Matthew Gemmell University of Liverpool, Life Science Building, Crown Street, Liverpool, United Kingdom University of Liverpool, Life Science Building, Crown Street Liverpool Merseyside United Kingdom L69 7ZB University of Liverpool [] BeginnersBiologists 25 [] first_come_first_served Python for Biologists
  • R for data science

    31 March - 3 April 2020

    Liverpool, United Kingdom

    R for data science https://tess.elixir-europe.org/events/r-for-data-science The course covered content for these learning objectives: To write your own custom functions To use for loops, apply functions and if statements To analyse large matrices of data in a semi-automated way To normalise data To quantify and correct batch effect To undertake the most common clustering algorithms including k-means and hierarchical To perform variable selection and present these results in different plots including heatmaps To do 2-way ANOVA To undertake multivariate modelling A brief introduction to machine learning. The course included brief theoretical introductions followed by hands on exercises based on real life research examples. 2020-03-31 09:00:00 UTC 2020-04-03 17:00:00 UTC Computational Biology Facility University of Liverpool, Liverpool, United Kingdom University of Liverpool Liverpool Merseyside United Kingdom L69 3GH Statistics and probability Bioinformatics University of Liverpool Computational Biology Facility (cbf@liverpool.ac.uk) [] [] 20 workshops_and_courses registration_of_interest R ProgrammingStatistical-model Statistics Pre-processingTranscriptomicsMetabolomicsProteomics
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