51 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at The University of Manchester
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formed during late-stage deglaciation and subsequent marine transgression. These data will provide critical constraints for palaeoclimatic reconstructions and help quantify the magnitude and style
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undertake an interdisciplinary programme combining polymer synthesis, materials characterisation, rheology and mechanical testing, and in vitro drug release studies, supported by quantitative analysis and
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(or international equivalent) in a relevant science or engineering related discipline.
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, providing new insights into the mechanisms. Together, this improved understanding will be used to help develop new test methods that can more reliably assess the SCC performance of new alloys and heat
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up to a £5k/annum research training support grant for the full duration of the 4-year programme. Metal-ligand multiple bonding is a burgeoning area for making chemically novel structural motifs
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environmental monitoring and in vivo/vitro diagnostics. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in Chemistry, Materials Science and
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extreme threats to national security. AWE has pioneered advancements in areas including physics, engineering, materials science, and high-performance computing. Together we’ve helped shape the UK’s
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experimental and computational, to understand and predict microtexture evolution during processing. The balance between experimental and computational research will depend on the profile of the successful
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and scientific computing. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline
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., blockchains), AI safety, and privacy, with potential impact across domains such as finance and healthcare. Applicants are expected to have an MSc degree in computer science or other majors related