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inversion of gravity gradient data, contribute to the development of data interfaces for multi-modal sensor integration, and perform advanced data processing and inference to support subsurface imaging and
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to develop magnetic resonance imaging (MRI) methods to advance electrochemical flow technologies, which are emerging as promising more-sustainable solutions for the global challenges of energy storage
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etching. Use ‘zoom’ tomography and imaging to resolve structural variation across scales from 30μm down to 3nm to establish a platform for reverse bottom-up enamel remineralisation. Bottom-up multi-modal 4D
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-The-Shelf (COTS), all-digital radar systems linked to an array of ultra-stable, ultra-low phase noise oscillators. The project is part of the UK Quantum Technology Hub in Sensing, Imaging and Timing (QuSIT
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materials, in particular using low solvent or solvent free processing. This work will include detailed characterisation of these materials to understand the degradation characteristics of these materials
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project will focus on scaling-up the technology and transferring existing knowledge of this process from the University of Birmingham to Salinity Solutions, where it can be commercialised and accelerate
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the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous
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to developing new protocols and techniques Ability to assess resource requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes
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, confirmatory factor analysis) Ability to assess resource requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute
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to data analysis and biological interpretation. Role Summary Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret large-scale LC–MS-based