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Field
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focus on understanding how catalyst structure and composition affect their reactivity and selectivity. The successful candidate will contribute to the development of heterogeneous catalytic systems
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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) composites for the repair, rehabilitation, of existing infrastructure and recycled FRP composites and/or other construction-grade waste materials. The successful candidate will be highly self-motivated and has
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experience in data-knowledge fusion-driven dynamic modeling of complex structures, specializing in uncertainty quantification of nonlinear systems and intelligent model order reduction methods, with at least
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Manufacturing CRC project ‘Standardising in-Field Manufacture of Composite Repairs to Steel Structures’. In this project you will investigate the capabilities of PAUT and MAUT NDT techniques to characterise
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, with an emphasis on bacterial lipid compositions. Initial step will involve determining lipid chain order parameters, bilayer structure, and lipid dynamics. Subsequently, lipid-protein interactions will
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involves: Working within the project team for the EPSRC project “Composite zeolite ion-exchangers for nuclear waste remediation. ” Performing experimental materials chemistry research to probe the mechanical
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responsibilities will include: Lead Field Research: Plan and execute field-based surveys to assess natural capital values, including forest structure, composition, and fauna diversity. Analyse and Report: Process
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encountered in their environment, including photoreceptor pigment sensitivities and eye size. In this PhD project, the aim is to compare retinal structure, cone photopigments and optics in members
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
fuels from recycled CO2 feedstock” funded by the Research Council of Norway. The project aims to advance fundamental insight into the structure-composition-function correlations that govern