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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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of others, providing expert advice and guidance. Skills, Experience & Qualifications Needed A first degree in physical / engineering /architecture and a PhD in pollution and/health. Experience in sensors
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previously researching on terahertz spectroscopy and ion-exchange membranes. About You We are seeking a highly qualified individual with a PhD (or near completion) in in Electronic Engineering, Chemical
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an exciting opportunity to lead a Knowledge Transfer Partnership (KTP) between the School of Chemical Engineering at the University of Birmingham and Gen 2 Carbon Limited. The Knowledge Transfer
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a relevant PhD. in Civil Engineering. Specific, relevant research experience in population-based SHM of bridges to include: Proven track record of working with infrastructure owners to organise field
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About us The Department of Statistical Science at UCL is the longest established university statistics department in the world and has played a pioneering role in the development of the subject
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Justin Sheffield. This project aims to transform our understanding of soil moisture (SM) variability and its interactions with land-atmosphere processes. The project will use cutting-edge modelling, data
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
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Justin Sheffield. This project aims to transform our understanding of soil moisture (SM) variability and its interactions with land-atmosphere processes. The project will use cutting-edge modelling, data
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to the Director of the HAB and working in close partnership with the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis