Global impact of sharing Open Educational Materials: Examples from Sweden and Africa
Anelda van der Walt (Talarify) and Ineke Luijten (SciLifeLab Training Hub).
Bringing life science professionals together and furthering skills in the scientific community are in SciLifeLab’s DNA. Our many events spanning a wide range of topics, present opportunities to develop your know-how and share your own experiences and network – sparking new ideas, as well as new collaborations. All events are free and open to everyone (unless otherwise stated), and we warmly welcome participants from industry, academia, healthcare, and beyond.
To support lifelong learning, the SciLifeLab Training Hub offers a vibrant community where instructors and learners come together to gain new skills and grow through shared knowledge. Explore all our courses, training, and educational offerings at training.scilifelab.se.
Anelda van der Walt (Talarify) and Ineke Luijten (SciLifeLab Training Hub).
When: Sep 9 2025 at 10:00-11.30 on ZoomTarget group: Researchers, research staff and other interested in compute and storage at Berzelius.Register: Welcome to join this digital training event about Berzelius that will give you an overview of the NSC Berzelius cluster and the Berzelius HPC architecture. It will also includes a Q & A with […]
Speaker: Cailean Osborne, PhD. NBIS and SciLifeLab Data Centre arrange an open SciLifeLab AI Seminar Series aimed at knowledge-sharing about Artificial Intelligence and applications in the Life Science community. The seminar series is open to everyone. The seminar is run over Zoom on the third Friday of the month during academic terms, typically between 10 and 11 am, […]
Title: "Data Delivery System (DDS) Workshop for Beginner Unit Users" When: Oct 2, Trippelrummet, BMC, Uppsala Registration: Last day to register: Sept 24 24.00 The “Data Delivery System (DDS) Workshop for Beginner Unit Users” workshop is on the beginner level, e.g. for personnel within units that are new to the DDS or that haven't used […]
Machine learning (ML) is a rapidly growing field within artificial intelligence (AI) that focuses on building systems capable of learning from data. Instead of being explicitly programmed with detailed rules, the ML models identify patterns and make predictions or decisions based on historical data. This approach has revolutionized many industries, including healthcare, finance, marketing, and […]
Danielle Welter - ELIXIR Luxembourg
Principal Data Scientist, Luxembourg National Data Service
Speaker: Maria Lerm, Linköping university. NBIS and SciLifeLab Data Centre arrange an open SciLifeLab AI Seminar Series aimed at knowledge-sharing about Artificial Intelligence and applications in the Life Science community. The seminar series is open to everyone. The seminar is run over Zoom on the third Friday of the month during academic terms, typically between 10 and 11 […]
We are delighted to invite you to join our upcoming workshop on "AI Agents in Life Science", co-organized between SciLifeLab Data Centre and eSSENCE. AI agents are emerging as autonomous systems that orchestrate scientific workflows by interacting with digital tools and data sources. These have various implications for life science research. They can, for example, […]
Welcome to join this practical introduction to essential commands on Berzelius. The session will cover: Participants will also gain hands-on experience with these commands. By the end of the session, you will be able to navigate Berzelius confidently and use its resources effectively for your research. Date: Tuesday, November 11, 2025Time: 10:00–11:30 Target audience: The online event […]
During the second day of the DDLS Annual Conference 2025 held at Uppsala Kongress och Konsert (UKK) participants will have an opportunity to attend one of the workshops. The workshops are directed at researchers in data-driven life science in all career stages. Please note that each workshop has a limited number of seats, on the […]
Israel Cabeza de Vaca, Uppsala university
Parul Tewatia - SciLifeLab Data Centre
Last updated: 2026-03-02
Content Responsible: Arnold Kochari(arnold.kochari@scilifelab.uu.se)