Workshop on Data Visualization in R – Lund
National course open for PhD students (prioritized), postdocs, researchers and other employees within all Swedish universities interested in learning to plot using different packages in R.
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.
Spatial analysis of gene expression in tissues
Single-cell genomics technologies have become widely used to study heterogeneous and dynamic biological systems. In order to meet the growing demand for a deeper understanding of tissue profiling, a number […]
Nordic ELIXIR-GOBLET Train-the-Trainer – Online
This course offers guidance, ideas and tips for designing training/teaching, development and delivery on training activities, all based on research-driven educational princip
New Imaging and Fluctuation Methods: Super-Resolution, Light-Sheet, STED-FCS and FRET-FCS
Web-based PhD-level course, 3 hp credits, by the ALM facility at Scilifelab. Light-Sheet Imaging Long time-lapse imaging of live modelorganisms with low phototoxicityCombined light-sheet andsuper-resolution Super-Resolution Imaging in Living Cells […]
RaukR, Advanced R for Bioinformatics – Online workshop
In Life Science and Bioinformatics, R is increasingly being used to transform and analyse data, perform statistical analysis and produce publication-ready visualisations. This workshop will focus on advanced R functionality, to increase the participants skillset and understanding of what is possible to do today.
Summer School in Transcriptomics during Development and Cancer
Come to this beautiful Swedish inland scenario to learn the most advanced technologies to study transcriptional regulation.Sandvik Gård, a beautiful conference centre and spa, majestically situated on a lake in […]
Integrative Structural Biology Course
InfraLife is preparing a course in integrative structural biology where we cover not only the basics of state-of-the-art structural biology techniques, but also how to combine the information to address […]
Spatial omics data analysis
This workshop provides resources to advanced tools for analysis of spatial datasets via a series of online lectures and computer practicals. The total course duration is 40 hours, including the online lectures and practical coding workshop that will be held online.
Snakemake BYOC (bring-your-own-code) workshop (ONLINE)
National workshop open for PhD students (prioritized), postdocs, researchers and others from all Swedish universities who have previously participated in the NBIS Tools for reproducible research course or with demonstrated experience in writing Snakemake workflows.
Workshop on Data Visualization in R – Lund – CANCELLED
This course aims to help researchers to visualize their data in different ways using R, and will also aim to show researchers how they can make publication grade figures using R
Exploring the Human Proteome with Antibodies, Transcriptomics and Mass Spectrometry
The summer school is aimed at graduate students, post-docs, and young independent investigators who want to learn about new techniques to explore the proteins encoded by the human genome. The course […]
Introduction to biostatistics and machine learning
National course open for PhD students, postdocs, researchers and other employees in need of biostatistical skills within all Swedish universities. The course is geared towards life scientists wanting to be able to understand and use basic statistical methods. It would also suit those already applying biostatistical methods but have never got a chance to reflect on and truly grasp the basic statistical concepts, such as the commonly misinterpreted p-value.