Python programming with applications to bioinformatics
National course open for PhD students, postdocs, researchers and other employees in need of fundamental Python skills within all Swedish universities
Events and courses
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.
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Ongoing
Cryo-EM sample preparation and data collection course
The purpose of the course is to prepare and train Cryo-EM facility users in sample preparation methods, introduce users to the image data acquisition workflow, expand knowledge about cryo-EM methods […]
Introduction to Data Management Practices
Air&Fire, SciLifeLab Stockholm Tomtebodavägen 23A, SolnaNational course open for PhD students, postdocs, researchers and other employees within all Swedish universities. This course will introduce important aspects of Research Data Management through a series of lectures and hands-on computer exercises. The course is intended for researchers that want to take the first steps towards a more systematic and reproducible approach to analysing and managing research data.
Campus Solna Seminar Series: Aditi Shenoy and Jean Froment
Air&Fire, SciLifeLab Stockholm Tomtebodavägen 23A, SolnaSeminar where PhDs & Postdocs present their projects. You can bring your lunch.
Structural proteogenomics analyses of circulating antibody repertoires
Gamma 2 Lunchroom SciLifeLab, Tomtebodavägen 23, SolnaProf. Johan Malmström, Lund University
[The Svedberg seminar] Prof. Jay Hinton
Prof. Jay Hinton, Professor of Microbial Pathogenesis at the University of Liverpool will summarise the evolutionary pathway of invasive S. Typhimurium across Africa, and explain the value of an integrated functional genomic analysis for understanding how bacterial pathogens cause disease.