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workflows for infectious disease surveillance and outbreak analysis. AI methods that support scientists and public health users while preserving data control, transparency, and responsible use. The successful
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subsurface processes, and you are motivated to work in depth with shallow groundwater in urban environments and the processes that control its spatial and temporal dynamics. You have experience with
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teaching activities. Your work tasks The PhD position is open within all three areas of Danish studies. Within the specific field, the PhD student will engage in both research and dissemination activities
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. The main activities include: Designing machine learning models that can detect unusual, unsafe, or attacked operating conditions. Developing data-driven models that capture how faults and attacks spread
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on machine learning, AI security, and real-time embedded computing for cyber-physical systems, with a strong emphasis on the AI and trustworthiness side of the problem. The main activities include: Designing