The goal of the dCod-project is to combine the competencies in environmental toxicology, biology, bioinformatics and mathematics across the traditional department boundaries, to create a deeper understanding of cods' adaptations and reactions to stressors in the environment.
The projects aims to generate large amounts of experimental data to be the basis of mathematical models that can describe these responses based on different scenarios. Furthermore, the overall goal is to create a tool for environmental monitoring and risk assessment that can be used in assessing the impacts of for example the oil industry, sewage discharge into harbours and industrial discharge into Norwegian fjords.
The project is associated with the Centre for Digital Life Norway.
An Atlantic cod (Gadus morhua) waiting at the bottom in Gulen, Sognefjorden, Norway.
Open Positions dCod 1.0: Decoding the systems toxicology of Atlantic cod
- PhD Research Fellow in Data-Driven Computational Mechanics for Offshore Wind Energy
- Researcher 1109 in Data-Driven Computational Mechanics for Offshore Wind Energy
- PhD Research Fellow in Algorithms and Extremal Combinatorics
- Tenure Track Associate Professor in Optimization
- PhD Research Fellow in applied and computational mathematics - CSSR