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Field
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approaches that overlook plant ecology and the interaction with soil structure development. This PhD project will transform rain garden design by linking plant traits to hydrological and ecological outcomes
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the development of trustworthy and deployable medical AI systems.
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team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Potential for development
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. Methodology The PhD will be divided into 3 work packages (WP): WP1 - Digital Twin Development: This WP focuses on building physics-informed digital twins for high-impact use cases: Smart Grids (simulating load
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efficiency, consistency and patient outcomes; they also introduce new cognitive demands, risks, and accountability challenges. This project aims to contribute to the development of human-centred, safe, and
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. The research will explore the development of hardware security primitives, embedded trust protocols, side-channel attack mitigation techniques, and tamper detection mechanisms. Additionally, the project will
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the development and validation of diagnostic and prognostic algorithms. Electronic Prognostics Systems: Facilities equipped to assess the health and predict the remaining useful life of electronic components
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inlet boundary layers. Together, these features can significantly alter the formation, strength, and development of secondary flows. This PhD project focuses on understanding turbine secondary flows under
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, this enables the development of more accurate computational models for various industrial processes. The experimental methods developed in this project will directly contribute to a better understanding of
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training and development opportunities. The expected start date is flexible but ideally from Autumn 2026. The initial appointment will be for one year, with the possibility of extension based on funding