Six new postdoc and researcher positions are funded by eSSENCE in Uppsala in 2017-2018. The projects and the principal investigators are
- Computational modeling, parameterization, and evaluation of the spread of antimicrobial resistance (Stefan Engblom)
- Automatic handwritten text recognition (Anders Hast) – Position announcement and application
- New e-science tools for in silico craniofacial development (Andreas Hellander) – Position announcement and application
- Functional networks for systems biology modelling: The tool and its validation for leukemia and diabetes (Jan Komorowski)
- Task based parallelization of electromagnetic scattering problems (Elisabeth Larsson) – Position Announcement and application
- Modelling opinion dynamics at individual level (Ilkka Mäkinen) – Position Announcement and application
The first project is data driven and a collaboration between Uppsala and Lund Universities. In the second project, machine learning will be used for semi-automatic interpretation of handwritten material in collaboration with the University Library. Computational methods will be applied to problems in developmental biology in the third project in a collaboration with Karolinska Institute. The Departments of Cell and Molecular Biology and Information Technology work together to improve functional network models in the fourth project. The multipole method will be implemeted on parallel computers in an industrial collaboration in the fifth project, Methods from statistical physics will be applied to electoral data from Stockholm city in the last project. New partnerships and new applications for eSSENCE are found in all projects.