483 web-programmer-developer-"https:"-"UCL"-"P"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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, climbing wall, cycle circuit, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and
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the Centre for Healthy Brain Ageing (CHBA), Department of Psychological Medicine. The Centre aims to advance the development of biomarkers for neurocognitive disorders and to create innovative approaches
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the condition, developing new treatments and testing the treatments in clinical trials. It is a key part of the UK Motor Neuron Disease Research Institute, a government and charity funded network
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to the preparation, analysis, and visualisation of large-scale public opinion data and help develop resources and training for academic, policy, and educational users. They will work to develop the core survey dataset
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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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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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their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio. This work is international in scope and covers a wide range of different substantive
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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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. 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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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