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sequencing and SNP detection. The student will join a vibrant microbiology group in Sheffield and receive a broad training in molecular and microbiology as well as imaging and bioinformatics. Academically
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with colleagues and external stakeholders to achieve research objectives. (assessed at Application/Interview). Desirable criteria Experience in manufacturing of discontinuous fibre composites is highly
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Legacy Survey of Space and Time (LSST) -- predicted to detect hundreds of millions of growing black holes. This presents a major challenge - how do we efficiently identify these growing black holes and
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identification of deformation patterns that are early warning signs of materials failure. These characteristic patterns result from the interaction of deformation mechanisms across multiple scales making detection
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facilitation skills to bring about change and find consensus, including the ability to develop processes and manage contradictory requirements (Application / Interview) ● Able to gather and analyse
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on the development of arrays of microscale neuromasts to sense acoustic velocity and higher order pressure derivatives. The idea is that if we can detect pipe failures and early signs of wall damage at the millimetre
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and GTC/HiPERCAM and NTT/ULTRACAM high-speed photometric data for a large number of magnetic white dwarf binaries. You will be responsible for developing new methods for analysing these objects, with
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activities wherever possible, and furthering the University’s EDI objectives. Person Specification: Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all
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the University’s EDI objectives. Person Specification Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels
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outlook for the future studies. Interact and closely collaborate with colleagues in the group, contributing to the team effort to meet objectives and use laboratory time efficiently. Provide supervision