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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 SciLifeLab training courses do not provide any formal university credits.
The course content is estimated to correspond to
a certain number of credits, however the estimated credits are just guidelines.
If formal credits are crucial, the student needs to confer with the home department before course application, whether the course is valid for formal credits or not.

Please note that The SciLifeLab The Svedberg Seminar series is also a research course for graduate students.

2020-03-24 - 2020-12-31, Course | Web-based, no on-campus activities

Introduction to high throughput screening

The 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. No deadline for application.

2020-10-05 - 2020-10-09, Course | Lund

Omics Integration and Systems Biology

The aim of this workshop is to provide an integrated view of biological network construction and integration, constraint-based modelling, multi-omics integration and hypothesis generation. Application deadline: August 21, 2020

2020-11-16 - 2020-11-20, Course | Uppsala

Introduction to biostatistics and machine learning

The course is geared towards life scientists wanting to be able to understand and use basic statistical methods. Application deadline: September 14, 2020