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.
The purpose of the course is to prepare and train cryoEM facility users in sample preparation methods, introduce users to the image data acquisition workflow, expand knowledge about cryoEM methods […]
A course exploring data science, AI, and life sciences to drive innovation and discovery
We invite current and future users of the Data Delivery System (DDS) from SciLifeLab units to join us for a workshop. When: August 28 in Alfa 2 Milky Way, SciLifeLab […]
Welcome to the Integrated Structural Biology course, 2nd edition Organized by SciLifeLab in collaboration with PPS (Protein Production Sweden), ESS (European Spallation Source), MAX IV, ProLinC, NSC (National Supercomputer Centre), SwedNMR […]
National course open for PhD students, postdocs, researchers and other employees in all Swedish universities, in need of Epigenomics data analysis skills. We also welcome applications from outside of Sweden […]
A course from SciLifeLab Training Hub, NBIS, and VIB.
This course covers lectures and practical demonstrations in SEM and TEM techniques. The contents include principles of electron microscopy, specimen preparation, cryo-electron microscopy and correlative light-electron microscopy. The main focus […]
The Advanced Light Microscopy Facility, ALM, at Scilifelab gives a two-week PhD-level course on four new imaging and fluorescence spectroscopy techniques: Depletion-based Super-Resolution Imaging MINFLUX Light-Sheet Imaging FCS-Methods Lecturers: Steven […]
The aim of this workshop is to provide an integrated view of data-driven analysis of biological data through machine learning, graph and network analysis as well as constraint-based modeling integration methods.
The course is addressed to individuals with little or no experience in programming but who are enthusiastic about learning how to use R for data analysis and streamline their work.
This course provides a practical introduction to the writing of Python programs for the complete novice. Participants are led through the core aspects of Python illustrated by a series of example programs.
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.