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systems safer, more efficient, and more sustainable. The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own
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focuses on AI-driven fault diagnosis, predictive analytics, and embedded self-healing mechanisms, with applications in aerospace, robotics, smart energy, and industrial automation. Based
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to healthcare and smart infrastructure. The research is hosted by the world-leading IVHM Centre, a founding partner of DARTeC, and benefits from a research environment shaped by collaborations with Boeing, Rolls
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We are seeking a highly motivated Research Assistant to join the AIRWISE project, an interdisciplinary research initiative focused on improving urban air quality and wellbeing through smart sensing
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scientists on site and around 300 researchers in Vienna. The Brukner group currently consists of an international team of 9 young researchers (Master, PhD, and Postdoc levels). For more information, please
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scientists on site and around 300 researchers in Vienna. The Brukner group currently consists of an international team of 9 young researchers (Master, PhD, and Postdoc levels). For more information, please
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production, fertiliser production, and aviation, but also as a mean of energy storage to support grid stability and variable renewable energy curtailment. Despite its potential, current challenges for water
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Learning. (If you are more interested in conducting attacks rather than defences, refer to https://ieeexplore.ieee.org/document/10274102 ) 4. Federated Learning for Smart Home applications. (Reference
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Application deadline: All year round Research theme: Robotics, Smart Manufacturing How to apply:uom.link/pgr-apply-2425 No. of positions: 1 This 3.5 year PhD is funded by the Department
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Applications are invited for a fully funded fixed-term position at the Research Associate (PostDoc) level in de-risking cirrus modification. Cirrus cloud modification (CCM) could in-theory mitigate