-
pipelines by combining statistical, synthetic, and decentralized methods to improve both the privacy and utility of anonymized datasets. Moreover, this research will examine the potential of AI and LLM
-
Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
-
, demand and supply values at these nodes are subject to uncertainty, which complicates logistics planning and decision-making. To tackle this challenge, we aim to develop efficient data-driven methods
-
a EU programme Reference Number BAP-2026-72 Is the Job related to staff position within a Research Infrastructure? No Offer Description This project investigates vibration-based methods for monitoring
-
friendly mode of transportation, but noise and vibration remain a major environmental challenge for the railway sector. Therefore, a wide range of numerical models have been developed for the prediction
-
, and to investigate coupling mechanisms between kink waves and other MHD wave modes. The analytical results will be validated using numerical simulations of kink-wave reflection and wave–wave