DASHH / Research / Accelerator Science Accelerator Science Running Projects Towards the Accelerator Metaverse: Spatial Computing Interfaces for Crossmodal Human-Robot Collaboration in Accelerators Design of Seismic Newtonian Noise Cancellation Systems by Neural Network Enhanced Simulations Context- and Quality-Aware Data Engineering for Scientific Facilities Dealing with Ultra-Large Datasets Leveraging Continuous & Assisted Software Engineering for Complex Data-Centric Experiments at Scientific Facilities Towards Predictive Maintenance at the European XFEL Using Machine Learning and Software Engineering Techniques Board Level Fault Prediction for the Embedded Sensor Systems at the European XFEL Towards Predictive Maintenance for the Optical Synchronisation System at the European XFEL Control, Data and Fault Analysis for the Optical Synchronization System at European XFEL