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understanding of the underlying mechanisms, (2) optimise the process with online monitoring to ensure high consistency of quality, (3) use the knowledge gained to understand the opportunities and limitations
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, or AI safety conferences. • Experience with Clang, LLVM, program analysis, or compiler technologies. • Familiarity with safety-critical systems or regulatory compliance frameworks. • Knowledge
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from this research are expected to contribute significantly to both academic knowledge and practical applications, helping to shape the next generation of resilient and intelligent wireless communication
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challenges in engineering Desirable: Experience with mathematical modelling, optimisation techniques, or supply chain analysis Background knowledge in bio-based materials, biorefineries, or circular economy
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high consistency of quality, (3) use the knowledge gained to understand the opportunities and limitations of the process when extended to a wide range of wire and powder materials. The PhD studentship is
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biology, chemistry, psychology and social science, facilitating knowledge discovery. The intuitively uninterpretable high-dimensional data and network data become visually scrutable upon being mapped into 2