Research School 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: TBD

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

Last updated: 2025-04-11

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