Research School Courses:

Please note: Participation in our research school courses by non-DDLS PhD students is decided by the individual course leader. Please contact the relevant course leader directly regarding availability and course requirements.

Previous courses

Open Science in the Swedish context

Number of credits: 1

Course leader: Ineke Luijten, Stockholm University

Content highlights: Good research practice; What is Open Science; Open Science implications for study design and planning, and for sharing and publishing of data and results; Citizen science

Teaching activities: pre-course assignments, one day of lectures with interactive sessions, post-course assignments

Date: March 2025, same date as the DDLS RS Annual Meeting
Venue: Djurönäset (at DDLS RS Annual Meeting)

Deep Neural Networks in Life Science Applications

Number of credits: 5

Course leader: Chun-Biu Li, Stockholm University

Content highlights: Machine learning; Network architectures; Training and evaluation; Troubleshooting; Life Science applications

Teaching activities: pre-course assignments, one week on-site with lectures and exercises using your own data, post-course assignments

Date: May-June 2025

Venue: Stockholm University

Principles and tools for FAIR research practices

Course website: https://uppsala.instructure.com/courses/111591

Number of credits: 3

Course leader: Elin Kronander, NBIS, Uppsala University

Content highlights: FAIR policy and practice; Organize files, data, and projects; Public repositories for data and code; Version control system; Package managers; Workflows; Jupyter notebooks

Teaching activities: pre-course assignments, one week on-site with lectures and exercises, post-course assignments

Date: September-October 2025

Venue: SciLifeLab Stockholm/Solna

For questions please contact: ddls-rs@scilifelab.se

Last updated: 2025-11-28

Content Responsible: Johan Inganni(johan.inganni@scilifelab.se)