-
uncertainty on the energy yield modeled during the design of the wind farm, increasing the risk for wind farm operators. To reduce this, additional insights are needed. In this PhD, the main focus will
-
(UA). This fully funded PhD position offers a unique opportunity to contribute to the future of pandemic resilience through scenario analysis, clinical data collection strategies and implementation
-
position within a dynamic and interdisciplinary research consortium. Access to rich clinical datasets, cutting-edge modeling tools, and real-world hospital infrastructure. Opportunities for international
-
FLOW research group is a young, dynamic group working in the fields of thermodynamics, fluid mechanics, and data-driven modelling. At the Department of engineering Technology (INDI) — Thermo and Fluid
-
characteristic of damaged gears or bearings. Furthermore, the increasing decentralization of wind farms necessitates robust and efficient on-site data processing capabilities. This PhD project will address
-
cells, embryo models and human embryos, with a focus on understanding how cell stress impacts these processes. During your PhD, you will work very closely with a postdoctoral fellow that will be carrying
-
data. The focus will be therefore on the development and critical assessment of the surrogate models, especially their validation, how effectively they generalize and extrapolate knowledge, and how might
-
. More concretely your work package, for the preparation of a doctorate, contains: We invite you for a fully funded PhD position within the prestigious European Research Council (ERC) Consolidator Grant