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little experience with high-performance computing. Work with members of the Infrastructure team and provide the technical leadership to ensure that we provide the appropriate resources necessary to support
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Design and Synthesis of Next-Generation High-Performance Energetic Materials
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High-Performance Laser Powder Bed Fusion of Polymer Parts Using Quantum Cascade Laser Arrays
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high-level training at the intersection of materials science, computational mechanics, and data-driven modelling, preparing graduates for careers in nuclear engineering, advanced energy systems, and high
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longitudinal datasets of skill acquisition, including digital trace data from domains such as gaming or structured training environments. These data provide high-resolution measures of performance and practice
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Application Deadline: 01 June 2026 Details Project Overview We are seeking a highly motivated PhD candidate to undertake cutting-edge research in the field of Additive Manufacturing (AM) of high-performance
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Overview We are looking to appoint a Postdoctoral Research Associate who applies strong immune-biology skills to advance a drug development programme for auto-immune and immune-ageing diseases
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Design and Synthesis of Next-Generation High-Performance Energetic Materials School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK Students Dr Bradley
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performance, BCI deficiency and countermeasures - Teaching the BCI skill: feedback and human training approaches - Brain/neuronal computer games interfaces and interaction - Using BCI for monitoring and
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-performance metallic components. The LPBF utilises a rapidly scanning high-power laser to scan and melt metallic powder alloys and form high-density geometrically complex end-use components. However, the LPBF