Sort by
Refine Your Search
-
Researcher in AI-based Load Forecasting at Radboud University, you will be at the heart of this challenge. You will develop cutting-edge AI models that predict electricity consumption at both grid and
-
Vacancies EngD Position: LiDAR-Assisted Wind Field Forecasting for Next-Gen Turbines Key takeaways About the Project Wind energy is a cornerstone of the global energy transition, but increasing
-
reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way for a truly circular wind energy sector
-
to extend the operational lifespan and reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way
-
the operational lifespan and reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way for a truly
-
external partners who drive innovation and growth, and our research is strongly embedded in applications such as anomaly detection, process monitoring and improvement, weather and climate forecasting, and
-
temporal modelling, multimodal analysis, and risk progression modelling to forecast deterioration patterns and estimate the remaining useful lifetime of infrastructure components. The research also