DASHH / Research / Accelerator Science Accelerator Science Running Projects Context- and Quality-aware Data Engineering for Scientific Facilities Dealing with Ultralarge Datasets Conceptual Foundations for Machine Learning in Engineering Using the Example of Tailored Laser Pulse Forming 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 Mixed Reality Technology for Operating Particle Accelerators and Laser Facilities Control, Data and Fault Analysis for the Optical Synchronization System at European XFEL