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at the University of Southampton, will model the micro-scale behavior of individual fibers within the matrix (interfacial shear strength) to predict the composite’s macro-scale behavior against experimental values
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in preparing quantum states of nanoparticles serving as mechanical systems [2] and scaling up the system size to multi-particle arrays [3,4]. By leveraging quantum and many-body resources in levitated
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/ slot die coating. The screen-printing process is scientifically complex; a non-Newtonian multi-phase elastic material (containing conducting/semi-conducting particles, organic binder and solvent) is
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reflection. Our previous work has only just reached the point where all the above elements have been successfully combined [1-2]: a working multi-scale design process combining theory and numerical simulations
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and pancreatic malignancies. You’ll develop innovative workflows to integrate and analyse large-scale multi-omic datasets from Genomics England’s 100,000 Genomes Project, including whole-genome
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effective delivery of expertise, equipment, and medical resources in response to complex and large-scale emergencies across the United Kingdom. In its initial phase, the research will examine past and
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the ability to do the follow up detailed simulation and optimisation work. The role involves first hand research in small scale wave and tidal energy extraction, working with electrical and hydrodynamic
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a comprehensive, multi-fidelity suite of liquid hydrogen (LH2) pump models to predict and analyze pump performance, stability, and its interaction with the broader fuel system architecture for a
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to avoid abrasion and agglomeration. A small-scale experiment will be devised to explore some of the complexities. There will be issues of supersonic flow and how the presence of an abrasive fluid affects
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to avoid abrasion and agglomeration. A small-scale experiment will be devised to explore some of the complexities. There will be issues of supersonic flow and how the presence of an abrasive fluid affects