Data management is an essential part of scientific research and is crucial for maximizing the value of data. Crash course in Data Management is an introductory course that equips researchers with the necessary skills for effective organization and management of research data. Participants will gain knowledge of best practices in data documentation, backup, and sharing. We will go through exercises and assignments to reinforce new knowledge.
This course is addressed to life scientists or bioinformaticians in academia or industry who are using the R statistical software and want to extend their knowledge.
Application deadline: 19 August 2024
Date: 02 - 04 September 2024
This course is addressed to life scientists, bioinformaticians, and computational biologists who would like to learn more about general best practices in Machine Learning and get more out of their Machine Learning models: more precise hyper-parameters, more generalizable models, and more interpretable models.
Application deadline: 29 September 2024
Date: 15 October 2024
This course is intended for life scientists who are already familiar with general concepts of NGS technologies and want to expand their knowledge and skills on variant analysis. Course material is available for free.
Application deadline: 15 August 2024
Date: 05 - 06 September 2024
Join this workshop if you are:
Application deadline: August 19, 2024
Date: September 10, 2024 - September 13, 2024
This course is addressed to life scientists or bioinformaticians familiar with “Next Generation Sequencing” who wish to acquire the necessary skills to analyse RNA-seq gene expression data. Course material is available for free.
Application deadline: 05 September 2024
Date: 19 - 20 September 2024
ELIXIR All Hands Meeting at Uppsala University was a resounding success! The grand main lecture hall provided a fantastic venue. It was wonderful to see colleagues from different nodes gather, share insights, and engage in enriching networking opportunities.
This remote event focuses on applying FAIR principles to machine_learning models in the life sciences, enhancing their reproducibility and utility.
Why Participate?
The hackathon is ideal for researchers, data scientists, and developers at the intersection of AI/ML and life sciences.
Date: 20 - 21 June
This interactive event will help participants understand ELIXIR’s structure and operations. It is particularly suitable for people who have been part of ELIXIR for less than two years, but is open to all. Those involved in onboarding new people to Nodes might also find this webinar useful.
By the end of the session, attendees should have a clearer picture of how they fit into ELIXIR and how best to apply their knowledge and skills to maximise their impact. They should leave with answers to their questions, and understand where to find further information and how to actively engage with ELIXIR.
Date: Jul 11, 2024 04:00 PM