Exhibition in Navet at BMC, Uppsala University
This is a chance to receive information and updates from 30 of the leading life science companies.
Events, seminars and symposia
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.
12 events found.
Integrating Scales in Planetary Biology
Integrating Scales in Planetary Biology 2026 brings together researchers and stakeholders across disciplines to explore how biological processes — from cells to ecosystems — shape the resilience of life on a changing planet. The conference is designed to foster cross-disciplinary collaboration, connecting scientists with industry partners, funders, and policy-makers to translate knowledge into actionable solutions. Led […]
Campus Solna Seminar Series: Konstantinos Antonopoulos & Ankit Gupta
Seminar where PhDs & Postdocs present their projects. You can bring your lunch.
Long-Read Sequencing Uppsala Meeting – LRUA26
Join us in Uppsala on November 2-4th for an update on the latest advances in long‑read sequencing and its applications in biodiversity research and human/medical genetics. Confirmed speakers: For more information and registration, visit the conference website. Abstract submission deadline September 2 Organizer: NGI Co-organizer: Clinical Genomics Uppsala
Research Data Management in Life Science – Gothenburg
Discover how to effectively manage, share, and safeguard your research data through practical guidance from both local and national experts. Engage in discussions on best practices grounded in the FAIR principles and Open Science.
RIKEN – KI – SciLifeLab Symposium 2026
Living systems across scales The RIKEN - KI - SciLifeLab Joint Symposium 2026 will bring together leading researchers from Japan and Sweden to explore how complex biological systems can be understood across spatial, temporal, and functional scales. The 2026 theme, Living systems across scales, focuses on integrating insights from molecular and cellular biology to tissues, […]
Campus Solna Seminar Series: Xue Zhang & Nicolas Buchin
Seminar where PhDs & Postdocs present their projects. You can bring your lunch.
DDLS Annual Conference 2026
The Data-Driven Life Science (DDLS) program, funded by the Knut and Alice Wallenberg Foundation (KAW), warmly welcomes you to the 5th DDLS Annual Conference, taking place November 9-10, 2026, at Aula Magna, Frescati Campus, Stockholm. Target Group: Anyone interested in data-driven life science is welcome to attend the Conference. You don´t need to be part of […]
DDLS Annual Conference 2026 workshops
During the second day of the DDLS Annual Conference 2026 held at Aula Magna at Stockholm University 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 […]
Campus Solna Seminar Series: Yaroslav Kaminskiy
Seminar where PhDs & Postdocs present their projects. You can bring your lunch.
Campus Solna Seminar Series: Sheetanshu Saproo & Yuqi Zheng
Seminar where PhDs & Postdocs present their projects. You can bring your lunch.
Mechanistic Modelling in Pharmacology, Physiology, and Neuroscience
Understanding complex biological systems requires more than data, it demands mechanistic insight. This conference highlights how mechanistic models can integrate clinical and experimental data with computational approaches. The volume and complexity of life science data are growing at an unprecedented pace. While computational tools are increasingly used to structure and analyze these data, there remains […]