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development, education, organisational change, and community engagement, reflecting a longstanding belief that drama-based learning cultivates capabilities with value across a wide range of contexts. However
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communication skills to develop and maintain effective working relationships. Has experience/ ability to prepare ethical, research and development applications and knowledge of research governance Desirable
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At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in
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our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic
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. The successful candidate will combine extensive experimental testing with insulation lifetime modelling to study PD inception, degradation and endurance, and to develop approaches for predicting insulation
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the low volumetric density of hydrogen, ammonia has emerged as a promising hydrogen carrier and zero-carbon fuel. The overall aim is to develop a novel direct ammonia fuel cell technology that can
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safety concern: they can generate significant heat and damage, critically compromising system redundancy and operative ability. This PhD combines industrial and academic expertise to develop next
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of AI models for the design and optimisation of integrated energy systems in public buildings. They will analyse heterogeneous datasets, create realistic what-if scenario analyses, and develop trustworthy
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. This PhD will develop AI-enhanced flexible antenna systems for resilient next-generation wireless networks. By exploiting flexible antenna technologies, the project will investigate AI-driven approaches
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of the steelmaking process. The aim of this project is to develop new insight in the application of a Digital Twin for steel section production. This will involve combining several of existing models into a cohesive