Sort by
Refine Your Search
-
and SUND faculties, working closely with course teams from Medialogy and Clinical Science & Technology, as well as a dedicated pedagogical postdoc. The stipend is open for appointment from 1 August 2026
-
of wind turbines. Despite remarkable progress in structural health monitoring boosted by AI, purely data-driven models have no physical interpretability and poor generalization capabilities. Thus
-
properties through computer simulations. The project also includes validation of materials in the lab and translating the findings into practical recommendations for use in real power-electronics environments
-
(LLMs) to explore historical text data and cultural heritage collections. Collections of historical texts are increasingly used to train AI, but, consisting of highly heterogeneous text data
-
design and laboratory experimentation, you will first explore a broad range of sodium-oxide glass compositions using advanced computer models to predict how well ions can move through them. Based
-
drought early warning and monitoring system for large-scale river basins. The project will explore both data-driven and model-based approaches for drought predictions, paving the way for a continental high
-
research on architectures and methods for the real-time delivery of EO data from dense nanosatellite/CubeSat constellations and to develop innovative GNSS-based sensing methods and AI models to detect a
-
yourself at the interface between protein science, food science, analytical chemistry, and data science and? If yes, we look forward to reading your application to our PhD Stipend. At the Faculty
-
Rietveld refinement of X-ray diffraction data. A background including experiments conducted at large scale facilities. Knowledge of magnetic properties. Experience with measuring vibrating sample
-
(such as heart disease, diabetes, and cancer) using, for example, data from registries and/or biobanks. The research will be performed in close collaboration with Center for Clinical Data Science (CLINDA