Courses and Events
All courses funded by this research school make their material freely available online using a Creative Commons licence. Lectures may be recorded and shared online.
Compulsory courses (3–5 HP)
The basis of the research school is two courses per year. Later courses may assume mastery of concepts taught earlier, so students are encouraged to take them in sequence.
First-year courses
Reproducible Research (formerly Applied Bioinformatics)
Samuel Flores, Swedish University of Agricultural Sciences
Introduces reproducible bioinformatics practice, including containers, version management, pipelining, Unix, and good scientific computing habits.
Statistics in Bioinformatics
Dirk Repsilber, Örebro University and Zelmina Lubovac, University of Skövde
Covers univariate and multivariate statistics, omics data analysis, and predictive biosignatures for precision medicine.
Second- or third-year courses
Experimental Design for High-throughput Technologies
Carsten Daub, Karolinska Institutet
Focuses on experimental design for high-throughput studies and critical evaluation of design choices in bioinformatics workflows.
Deep Learning
Chun-Biu Li, Stockholm University
An advanced course in deep learning with MedBioInfo seats reserved for students.
Computational Systems Biology
Mika Gustafsson, Linköping University
Introduces systems biology concepts and mathematical models for biomedical research, from small-scale to large-scale modelling.
Third-year courses
Career Alternatives and Your Scientific CV
Carsten Daub, Karolinska Institutet
Explores academic and industry careers, with exercises on CV writing and interviews.
Annual meetings
Another major part of the research school is the annual meeting. These meetings combine student presentations, faculty talks, mentoring, and soft-skills sessions, while also helping students build a long-term national scientific network.
