11 multiscale-modeling Postdoctoral research jobs at University of Southern Denmark in Denmark
Sort by
Refine Your Search
-
Denmark (SDU). The position is in an exciting 6-year project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases
-
the kidney’s electrolyte and water reabsorption. The postdoc will be expected to explore the potential of modulating bile acid signaling in cell and mouse models and perform metabolomic and transcriptomic
-
project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting
-
). Human and environmental exposure modeling (e.g., ConsExpo, Chesar, Vermeer). Proficiency in navigating ECHA databases, and use of chemical safety data (REACH dossiers, hazard classification, exposure
-
, you are expected to determine the molecular super-structure of TZ. You will monitor the gating mechanism of TZ in cellular models such as RPE1 or cultured dopaminergic neurons by immunofluorescence
-
of the extremely wealthy individual. The postdoc project enquires into these ethical obligations and should aim to sketch a model of the moral requirements of being extremely rich. We expect the postdoc project
-
disorders is crucial to identify vulnerable population and develop effective prevention and intervention strategies. Using a focal cortical ablation model in pregnant rats, the project explores neurological
-
techniques. Experience with data-driven user modeling and AI-driven personalization (e.g., recommender systems, user profiling, or adaptive user interfaces) is highly desirable. Knowledge of or a passion for
-
translated into English. The application documents must be written in English. Use of large language models or related AI tools in any capacity must be disclosed in accordance with best academic practices
-
static and dynamic program analysis, tailored to the challenges of cross-language data communication. In particular, to systematically model and analyze cross-language communications to discover hidden