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features enhance binding to the receptors. This information will be carried forward to human tasting panels. You will also investigate how other components of food matrices inhibit binding. You will thus
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sequences, analyse those data using Bayesian, Maximum Likelihood and coalescence approaches, and build matrices of geolocation and morphological data. The work will be alongside others working on related
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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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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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PhD Studentship: Secure By Design Datasets – Distillation and Privatisation for Future Collaboration
synthetic dataset that both obfuscates and compresses while remaining as true as possible to the sensitive historical data. Academic Institution This is an opportunity to join the Centre for Vision, Speech
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their geometry when subjected to tensile or compressive forces, leading to measurable resistance changes. By applying the gauge factor equation, this resistance change can be translated into strain. Despite
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especially under compressive buckling loads, potentially leading to catastrophic failure. We have developed new generation of multi-scale composites using graphene/nanoparticles reinforcement in glass/carbon