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Field
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. This research will use distributed field data collection (macroinvertebrates, sediment character and dynamics) and a complementary set of flume experiments to quantify these impacts and to systematically
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the power of AI/ML and software-defined networking (SDN), and distributed learning methodologies, the research will focus on creating self-configuring, self-optimizing, and self-healing mechanisms for real
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central to national and international climate strategies, yet its role remains contested, particularly regarding timing, scale, equity, and sustainability. Questions around the fair distribution of CDR
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team of 12 young scientists (Master/ PhD/ Postdoc). Our expertise lies in quantum foundations and quantum information theory. For additional information, please visit: https://dakic.univie.ac.at/ . Your
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-rounded academic background ◾Demonstrated ability to develop precision mechatronics system and algorithms ◾Ability to develop kinematic and/or dynamic analysis of mechanical/robotic systems ◾Ability
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ultraprecise clock distribution (QT Mission 4: positioning, navigation, and timing; QT Mission 5: network synchronisation) and practical quantum sources for hybrid networks (QT Mission 2: quantum communications
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, particularly those attempting data poisoning attacks. Blockchain’s immutability and transparency, combined with novel detection algorithms, could provide a robust defence mechanism to maintain the integrity
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and social acceptance. This research will develop an efficient variable renewable energy (wind and solar) input system architecture to produce, store, and distribute variable power output (electrical
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algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
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challenges to the electricity transmission and distribution system, as solar power is not dispatchable and therefore its incorporation as a major element of the generation mix requires the accurate prediction