Courses


SciLifeLab offer training and workshops for current and potential SciLifeLab infrastructure users, such as PhD students, postdocs, investigators and other employees within all Swedish universities.

The educational activities cover knowledge and understanding about the advanced techniques and data analysis methods available at the SciLifeLab technical platforms. In general, they are aimed for researches who have not previously been aware of – or lacked access to – the technologies SciLifeLab provides. You can learn how to benefit from SciLifeLab’s scientific resources, how to plan your projects and how to analyze your data. The workshops are usually shorter than other educational activities and more focused on a single subject. Please note that The SciLifeLab The Svedberg Seminar series is also a research course for graduate students.


2017-12-01 - 2018-06-30, Course | Online

Introduction to high throughput screening

This web-based CBCS course gives a broad introduction to high throughput screening (HTS) that is technique used to identify biologically active small organic molecules through screening of compound libraries with the help of robust test systems and advanced instrumentation. Course participants are accepted continuously.

2018-05-15 - 2018-05-31, Course | Linköping

Single cell analysis using flow and mass cytometry

The purpose of the course is to prepare and train course participants to plan mass cytometry experiments on a detailed level and to be able to decide which analytical software to use on acquired mass cytometry data. Application deadline: April 15.

2018-06-10 - 2018-06-21, Course | Gotland

RaukR, Advanced R for Bioinformatics, Summer course

Join us in medieval Visby this June to improve your R skills and have a nice time!
In Life Science and Bioinformatics, R is increasingly being used to transform and analyse data, perform statistical analysis and produce publication-ready visualizations. This Summer course will focus on advanced R functionality to increase the participants skillset and understanding of what is possible to do today. Application deadline: April 15.

2018-06-11 - 2018-06-15, Course | Stockholm

Quick and clean: advanced Python for data science in biology

The course is built around Python philosophy of being quick and clean (the so called Zen of Python) and thus assumes anything taking more than three days to learn is probably not worth the effort. For convenience it is structured based on the industry way of classifying big data jobs: data analytics, data science, data engineering. Application deadline: May 14.

2018-08-27 - 2018-09-07, Course | Uppsala

Advanced Molecular Technology and Instrumentation for Proteome Analyses

The course will provide insight into state-of-the-art technologies for proteome analyses in research and medicine via advanced molecular technologies, reagent resources and instrumentation. The course will convey, by lectures and hands-on training, information about established and emerging methods and technologies relevant in basic research and diagnostics. Affinity- and non-affinity-based methods for protein analyses will be covered. Application deadline: June 15.

2018-08-27 - 2018-08-31, Course | Uppsala, Stockholm

Biophysical methods in drug discovery

The course will focus on different biophysical methods used for characterising protein-ligand interactions in drug discovery projects. It will cover a range of biophysical methods used to characterize interactions between drug target proteins and potential inhibitory compounds, and how to use the information for lead generation. The methods include, but are not limited to those offered at the three SciLifeLab facilities. The course consists of lectures with active discussion from the participants, computer exercises, and demonstrations in the form of laboratory experiments. Application deadline: May 26.

2018-09-10 - 2018-09-13, Course | Stockholm

Hands on immunofluorescence

The purpose of the course is to get experience from preparing samples for immunofluorescence and learn about fluorescence microscopy and how to acquire images from confocal microscopes. The course will combine theory and hands on work by performing a typical immunofluorescence workflow.
Participants will start in the cell lab with cell culturing and seeding, perform immunostaining with three markers and a target protein of choice (if applicable), and image the samples using a confocal microscope. At the microscope the concept of fluorescence will be demonstrated and some exercises will be done to illustrate how confocal microscopy and fluorescence microscopy works. The course will also cover annotation of immunofluorescence images and students will get practice on annotating images acquired. Application deadline, June 22.

2018-09-10 - 2018-09-14, Course | Uppsala

Introduction to Bioinformatics using NGS data, Uppsala

The course will provide an entry-level introduction to a wide range of analytical techniques for massively parallel sequencing, including basic Linux commands. We will pair lectures on the theory of analysis algorithms with practical computational exercises demonstrating the use of common tools for analyzing data from each of several common sequencing study designs. Application deadline: July 30

2018-10-01 - 2018-10-05, Course | Stockholm

Chemical Proteomics 2018-moved to autumn (the new date will be announced soon)

This course will cover most updated chemical proteomics strategies available for identifying proteome-wide compound-target interactions, which ChemProt provides at the state-of-the-art level. The course is moved to autumn (the new date will be published soon

2018-11-12 - 2018-11-16, Course | Umeå

Introduction to Bioinformatics using NGS data, Umeå

National course. The course is open for current and potential facility users such as PhD students, postdocs, group leaders and core facility staff in need of bioinformatic skills within all Swedish universities. This course is supported by SciLifeLab and run by the SciLifeLab National Bioinformatics Infrastructure Sweden (NBIS). Application page Course schedule Important dates Application open: May […]