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ligand(s). The 3D organisation of these domains is therefore critical for their function. The object of our studies is to gain a fundamental understanding of this incredible family of glycans, opening
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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of the proposed replacement approaches will form an integral part of the proposed multi-objective optimisation approach. Such a methodology should help asset managers and system operators to make practical
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The transition to net-zero aviation has emerged as a critical objective in the global effort to mitigate climate change, with the aviation sector currently accounting for approximately 2–3% of global CO₂ emissions
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this by monitoring infectious disease trends and outbreaks using systems that collect information over time and allow unusual changes to be detected. While these normally count laboratory test results
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of care plus a nurse-led phone contact. Objectives: 1) To determine patients’ perspective on a pneumonia information leaflet provided at the time of hospital discharge in accordance with the NICE Pneumonia
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microstructure exhibiting improved physical and mechanical properties. The main objective of this project will be to develop a mechanistic understating of the microstructural evolution of the Additive
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, usability, and insight into leakage dynamics across diverse constructions. Research Objectives The project is structured around three synergistic work packages: Descriptive Analytics: You will conduct a
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the protein ligand(s). The 3D organisation of these domains is therefore critical for their function. The object of our studies is to gain a fundamental understanding of this incredible family of glycans
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dynamic environments, including narrow spaces and interactions with unfamiliar objects. This project aligns with Rolls-Royce’s technical needs for developing soft robotic solutions to enable in-situ/on-wing