Bringing life science professionals together and furthering skills in the scientific community are in SciLifeLab’s DNA. Our many events and courses, which span 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.
Contact
events@scilifelab.se
education@scilifelab.uu.se
If you are part of the SciLifeLab community, you can submit an event to this calendar.
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.
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 […]
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
The aim of this workshop is to provide an introduction to commonly used methods in population genomics. As the focus of the course is on hands-on work, the topics have been designed to cover the fundamental analyses that are common in many population genomics studies. The course consists of lectures and exercises, with a focus on the practical aspects of analyses.
