The main part of the course will be to work directly on a pre-defined research project, with a highly skilled supervisor and a transdisciplinary team. There will be special focus and training on how to work in teams with a common goal, how to implement the principles of RRI (responsible research and innovation) in your research, and data management. Participants with a background in life sciences, biotechnology, bioinformatics, mathematics, or computer science are encouraged to apply, in addition to students from the humanities with an interest in biotechnology.
Projects
- Fluctuations in fluorescence imaging for nanoscopy of living and fixed cells. Krishna Agarwal, UiT.
- Integrative -omics analysis for improved characterization of breast cancer. Tone Bathen & Guro Giskeødegård, NTNU.
- Multiomics data analysis in toxicology. Nello Blaser, UiB.
- The in silico patient: perspectives for therapy design. Martin Kuiper, Astrid Lægreid, Rune Nydal, NTNU.
- Network inference using single cell gene expression data. Anagha Joshi, UiB.