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modern machine learning, statistical signal processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs
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industrial scale powder processing routes have been used for mixed oxide (MOx) fuel manufacture, both approaches rely heavily on milling — typically ball milling — to reduce particle size, mix powders, and
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the energy and physical resource consumption of AI models continues to scale, there is an increasing need for new computational paradigms that draw on the efficiency and parallelism of biological
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flight. This involves significant electrification where on-board electrical systems are increasingly critical to aircraft operation. Arc faults in aviation electrical systems remain a major reliability and
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backgrounds such as AI, computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, or related areas are encouraged to apply
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will ask whether measurable descriptors of rHDPE can be used to predict performance across processing history, repeated recycling and bottle-relevant failure conditions. The project is expected
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backgrounds such as AI, computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, or related areas are encouraged to apply
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operating pressures of up to 50 bar during gas separation processes (e.g., CO₂/CH₄ separation). Under high-pressure conditions, skin layers may develop defects and microcracks, while polymeric supports
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extraction process involves the transfer of plutonium ions, dissolved in nitric acid, to plutonium complexes in an organic phase. At high loadings, these plutonium complexes stick together to form an extended
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-to-weight ratio and corrosion resistance. Their performance, however, is strongly influenced by microtexture, crystallographic orientation clusters that develop in the material during processing. Controlling