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, compression, learning, and inference for classical and quantum data exchanged through classical and quantum networks. The objective of the PhD study is to explore and address research and design challenges
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pressure shock waves which induce compressive residual stresses in the structure, thereby improving the surface hardness and the resistance to fatigue cracking and to corrosion. LSP is more effective than
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(EBSD, EDX, SAXS, TEM) and ex situ/in situ nanoindentation-based techniques (micro-tensile/compression). The insights gained from this investigation will be crucial for optimizing existing Mg-RE alloys
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is, however, the transportation and storage. Current methods rely on liquid compressed hydrogen, which requires high pressures or low temperatures. This project will computationally explore catalyst
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advanced microstructural characterization (EBSD, EDX, SAXS, TEM) and ex situ/in situ nanoindentation-based techniques (micro-tensile/compression). The insights gained from this investigation will be crucial
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) light source that can suppress spurious nonlinearities in direct drive fusion target compression. As part of the IGNYTe team, you will develop a laser comprised of a shapeable incoherent fibre front
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flow regime ranging from steady laminar to unsteady turbulent configurations, there is also potential to extend the analysis to compressible flows and structural analysis. This research is highly
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. Tensegrity structures, which rely on a balance of compressive and tensile components, offer unique advantages for space applications, including high strength-to-weight ratios, flexibility in configuration, and
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efficiency. However, their complex behavior under combined loading conditions—compression, bending, shear, and torsion—poses significant challenges for both design and long-term performance monitoring
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group has a strong international reputation in academia and industry for pioneering column store technology, fast compression methods, vectorized query execution, indexes for interactive data analysis