471 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions in United Kingdom
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group of ISMIP7. The aim of the group is to develop a protocol and provide the boundary conditions for ocean-driven melting needed by ice-sheet modelers to simulate the evolution of the Antarctic ice
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. Funded by Innovate UK through a Knowledge Transfer Partnership (KTP), the Fellow will lead the development of an end-to-end AET testing framework, encompassing data assembly, software interfacing, test
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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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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
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to support capacity development in statistics in these institutions when such visits are appropriate & safe. The ideal candidate will have a postgraduate education in medical statistics and a demonstrated
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quantitative skills and an appetite for developing your own analyses? We are seeking an experienced Research Fellow to assess the impact of European conservation and sustainability initiatives on global
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an exciting opportunity to undertake work on antenna synthesis and physical layer radio to underpin the science to enable practical implementation of an evolution of this concept, 3D Angular Momentum
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wide portfolio of funded research projects involving a broad range of statistical, econometric and health economic evaluation methods. We are committed to supporting and developing our team members
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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