Big data mining in Life Sciences
This two-day hands-on training (6-7 December 2016) is organised by Biopark Formation and the Interuniversity Institute of Bioinformatics in Brussels - (IB)².
On June 17-18 2021, the Helis Academy, with Data Analysis and Data Stewardship as one of its pillars, is organizing 2 half-day virtual events related to “Optimizing industry readiness in The Netherlands and Flanders”.
The innovation and SME event for the Agritech sector took place from 10 to 12 March 2021. Participants were immersed in a world of data-driven innovation, with a mix of high-level keynote presentations and hands-on sessions to discuss and interact with other companies, academics and ELIXIR partners. There was also the possibility to interact with SMEs and Start-Ups during a set of round tables. All this with an interactive virtual platform offering an immersive online experience.
This two-day hands-on training (6-7 December 2016) is organised by Biopark Formation and the Interuniversity Institute of Bioinformatics in Brussels - (IB)².
This workshop and conference (14-17 November 2016) is organised by the Interuniversity Institute of Bioinformatics in Brussels - (IB)² and Genome Diagnostics Nijmegen.
This two-day workshop (7-8 November 2016) will get researchers more familiar with genomics data. The focus is on Linux, command line tools and visualisation in R. The workshop is aimed at researchers in the life sciences at all career stages and is designed for learners with little to no prior knowledge of Linux and command line tools, programming in R or biological networks in Cytoscape. More information.
This workshop (18 July 2016) is organised by the ULB Machine Learning Group and aims to present the current and future perspectives of former and current ULB MLG researchers in data science and bioinformatics. More information.
Using PLAZA to get more out of your plant omics data
Three days training (11-13 September 2017) for life scientists. Aims to introduce the concepts as well as hands-on skills to the data mining and machine learning techniques that are able to analyse biomedical data.
Target audience: doctoral students and postdoctoral researchers in life sciences.
Number of places: limited to 30; for half of the places, priority is given to UAntwerpen PhD students.