Skip to content

News

Online: Ensuring More Accurate, Generalisable, and Interpretable Machine Learning Models for Bioinformatics

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

More Info

Online: BioModels ML Hackathon

This remote event focuses on applying FAIR principles to machine_learning models in the life sciences, enhancing their reproducibility and utility.

Why Participate?

  • Engage in hands-on activities to make ML models more Findable, Accessible, Interoperable, and Reusable.
  • Collaborate with experts and peers to boost the impact of your work.
  • Contribute to a leading community resource while gaining recognition for your expertise.

The hackathon is ideal for researchers, data scientists, and developers at the intersection of AI/ML and life sciences.

Date: 20 - 21 June

More Info and Registration

Webinar: Demystifying ELIXIR: Everything you ever wanted to know and more

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

More Info and Registration

ELIXIR Estonia participated in DataCite Estonia consortium Open Science event

On June 4, 2024, the DataCite Estonia consortium Open Science event took take place at the University of Tartu Library.

ELIXIR EE has been advocating for Open Science principles across universities in Estonia and our efforts have been noticed (slides by Liisi Lembinen). Additionally, our node contact has been recognized for their expertise in data management (slides by Janelle Kirss from Taltech).

More Info

Slides and materials are available in DSpace.