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.
Learnings from the SciLifeLab model for drug discovery research, ten years perspective This symposium is part of the 10 year anniversary of the Drug Development and Discovery Platform at SciLifeLab. Translational research as a boost for Swedish Life Science: Learnings from the SciLifeLab model for drug discovery research, ten years perspective Program
Welcome to the SciLifeLab Lund seminar series! These seminars are designed to highlight SciLifeLab Lund, our cutting-edge research infrastructure, and the diverse resources available to the scientific community. In the 2nd seminar, we will have a in-depth look at the Swedish National Infrastructure for Biological Mass Spectrometry (BioMS). BioMS offers access to qualified projects in proteogenomics, […]
Eurolife Distinguished Lecture Professor Manfred Wuhrer, Leiden University Medical Center SciLifeLab Solna venue Air & Fire and online here >> Welcome to this lecture by Prof Dr Manfred Wuhrer from Leiden University Medical Center, The Netherlands, as part of the Eurolife Distinguished Lecture Series (EDLS). Glycosylation is a key factor in shaping multicellular life including immunological responses. […]
Seminar where PhDs & Postdocs present their projects. You can bring your lunch.
During the second day of the DDLS Annual conference 2024 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. Each workshop has a limited number of seats, on the first come first served basis. Those registered after the limit […]
Nataša Sladoje, Uppsala University NBIS arranges an open AI and IO Seminar Series aimed at knowledge-sharing about Artificial Intelligence and Integrative Omics (AI & IO) analysis 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, […]
The workshop will introduce important research data management aspects through lectures, demonstrations, and hands-on computer exercises. The course is intended for researchers who want to take the first steps towards a more systematic and reproducible approach to analysing and managing research data.
Professor Alfredo Castello
MRC-University of Glasgow Centre for Virus Research
Seminar where PhDs & Postdocs present their projects. You can bring your lunch.
This intense one-week workshop provides an introduction to the analysis of next generation sequencing data. Lectures on the theory of concepts will be paired with practical computational exercises in the Linux environment.
NBIS / ELIXIR-SE course open for PhD students, postdocs, group leaders and core facility staff at all Swedish universities interested in making their computational analysis more reproducible. Important dates and information Application opens: 2024-08-26 Application closes: 2024-10-18 Confirmation to accepted students: 2024-10-25 Course Leader and teachers: In case you miss information on any of the above […]
This course expands on common life science data analysis methods, including dimensionality reduction techniques beyond PCA, mixed-effects models for analysis of repeated measures, and survival analysis. We will also dive deeper into machine learning, covering more classification algorithms, ensemble techniques, optimization strategies and PLS methods for single and multi-omics data analysis