A three-day scientific agenda with oral presentations, workshop discussions, and poster presentations covering the latest developments and applications of MSI by leading and upcoming scientists from academic, government, and industry labs
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.
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Hybrid Event
Language of instruction: EnglishCourse period: 2023-04-11-- 2023-05-09Course structure: The course will be hybrid on site and via zoom to facilitate remote participation. For computer exercises we encourage on-site participation for best possible support, but will do our best to also support those participating remotely. RECOMMENDED PREREQUISITES The target group is PhD students from all subjects where digital […]
2 events,
A national course open for PhD students (prioritized), postdocs, researchers and other employees within Swedish universities who are interested in learning to produce publication quality plots using different packages in R.
3 events,
This course will introduce important aspects of Research Data Management through a series of lectures and hands-on computer exercises. The course is intended for researchers that want to take the first steps towards a more systematic and reproducible approach to analysing and managing research data.
3 events,
The course is geared towards life scientists wanting to be able to understand and use basic statistical methods.
NBIS / ELIXIR-SE course is open for PhD students, postdocs, group leaders and core facility staff interested in making their computational analysis more reproducible