548 web-programmer-developer-"https:"-"University-of-St"-"UCL"-"https:" Fellowship positions in United Kingdom
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, using qualitative, quantitative, and mixed methods Analysing policy and policy processes relevant to water Supporting the innovation/policy challenge ‘labs’ and capacity building programme Regular
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inaccessible at ambient conditions. This post involves the design of new nanophotonic devices that optimize light-matter interactions, primarily with cold atoms, and the development of schemes suitable
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high-quality research contributing to the development of projects, under appropriate supervision and guidance. Taking responsibility for the successful day to day running of specific cardiovascular
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process in a disease-relevant model in real time. This involves developing cutting edge in vitro and in vivo models that will enable us to identify new targets and optimise existing treatments
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Background As a member of the Birmingham Photoacoustic Group, founded by Dr James Guggenheim in 2021, the postholder will focus on developing photoacoustic imaging systems based on highly sensitive Fabry-Perot
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mechanisms of stem cells, development or cancer, ideally with strong publication record in chromatin regulation and human primary cancer cell line models. Good understanding of the fundamental biology of gene
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conference presentations, and developing original research ideas that build on the project’s conceptual framework. The role will also include providing day-to-day support for the project’s research activities
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from September 2026 or as soon as possible thereafter. Shorter appointments will be considered in exceptional circumstances. The fellowships offer early career researchers the opportunity to develop
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understand short- or long-term variability in INP and furthermore the sources, seasonal cycle and temperature dependence of INPs remain poorly defined; this hinders the development of realistic treatments
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly