492 web-programmer-developer-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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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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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
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. The successful candidate will contribute to a Gates Foundation funded project focused on developing and applying advanced spatial and spatio-temporal statistical methods to inform disease mapping and control
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contribution to the economic, social and cultural development of Northern Ireland. Our core business activities are teaching and learning, widening access to education, research and innovation and technology and
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strategy focuses on its five scientific programmes. GOS ICH’s activities include active engagement with children and families, to ensure that our work is relevant and appropriate to their needs. GOS ICH
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Fellowship is a career development post, designed to enable an outstanding early career academic to undertake an independent, self-directed programme of research that substantially develops or is different
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%) allocated to teaching on the School’s programmes and developing the Alfred Landecker Programme. The post is generously supported by funds from the Alfred Landecker Foundation, to support a programme of
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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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sensor development for wastewater, especially on the single-cell and single molecule detection, utilising state-of-the-art facilities in the Advanced Sensors Laboratory at Cranfield University. Cranfield
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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