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within preventive and predictive maintenance with a strong focus on condition monitoring and non-destructive testing. The position centres on developing and validating new methods for non-destructive
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, there may be groups of different parameters producing the same output as the true system parameters, making it almost impossible to uniquely recover the actual ones. AI:Wind-Lab aims to develop a set of
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, and multispecies justice claims related to DSM. Working across anthropology and legal scholarship the project aims to develop a new interdisciplinary research framework that works around the following
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(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
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be involved in developing and delivering teaching primarily at both bachelor and master levels, and on HD and MBA programs, including topics such as business partnering, performance management
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decision-making. As a postdoc, you will work at the interface between research and practice and contribute to the development of decision-support approaches that help planners and authorities address
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power electronics to enhance the reuse and recycling of components, enabling a more circular life cycle. The work will contribute to a new paradigm in the development of power electronics that incorporate
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the interplay between human actors, technological systems, work practices, and organisational and infrastructural conditions, the project investigates how these relations can develop into sustainable and
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nanosatellite/CubeSat constellations and to develop innovative GNSS-based sensing methods and AI models to detect a variety of Earth surface processes. This PhD position focuses on developing analytical models
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or soon thereafter. Your work tasks The position focuses on experimental development of cement-based functional materials within a newly established interdisciplinary platform integrating cement chemistry