488 web-programmer-developer-"https:"-"https:"-"https:"-"UCL"-"UCL" Fellowship positions in United Kingdom
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involving industry and academia, funded substantially by the UK Space Agency. This is part of the UK Space Agency National Space Innovation Programme just announced by UKSA. The overall project is to develop
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on the development of novel sensors to enhance the understanding of multi-drug resistance and track AMR using a One Health approach. About the Role The postholder’s primary responsibility is to conduct cutting-edge
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the School of Mechanical Engineering. The project is part of a new £7M EPSRC funded Programme Grant that brings together a team of researchers from the universities of Leeds, Durham and Manchester
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during their PhD and in any postdoctoral positions. Securing a Fellowship will offer you the freedom to conduct your own research programme. To aid the development of their academic profile and to support
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disorders through an integrated programme of research, teaching and clinical activity. About the role Applications are invited for doctors with suitable experience to work as a full time Clinical Research
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that are relevant to industry demands while working on research projects in SIT. The Future Ship and System Design (FSSD) programme aims to develop strategic and innovative design capabilities for the maritime
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a pioneering research programme on “Enabling consumers to make healthy financial choices“, focusing on how behavioural finance insights can be applied at scale through technology platforms to improve
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research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future
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An exciting opportunity is available for a talented researcher to join a successful team in Primary Care Research Centre/Clinical Experimental Sciences to develop an e-learning tool for clinicians
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collaborative nature of the programme. Based within the Data-driven Biology Group, the postholder will develop and validate AI and data science tools for multi-cancer risk prediction models using population-scale