-
of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
-
. The work combines physics-based thermal design and process-level system simulation with high-fidelity computational fluid dynamics and fast reduced-order and machine-learning models, so that the final design
-
be included for completing this subproject within the period of employment. Lastly, the application must include a copy of the applicant’s PhD degree certificate or other documentation confirming
-
highly motivated candidate who has: A PhD in agronomy, engineering, biology, technical oriented sciences or similar. Research experience on process-based models (e.g. DayCent, DNDC, or similar) to simulate
-
package III develops and tests remedies against the harmful effects of this rhetoric, using generative agent-based simulations and AI-chatbot-based dialogue experiments. The two postdocs advertised in
-
metagenomics from various field experiments, evaluation of microbially mediated regulation of soil carbon fractions, and development of a model that simulates the growth of key soil microbial communities related
-
and experiments with modelling of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations. With