11 web-programmer-developer-"https:"-"UCL"-"CEA-Saclay"-"https:"-"https:"-"https:" Fellowship positions at University of London
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be looking to develop their academic career. They should be interested in spending extended periods of time (18-24 months) at one of the Programme African Partner Institutions in Zambia, Zimbabwe
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in developing countries through excellence in research, healthcare, and training. Our research programme includes basic scientific investigations, clinical trials, epidemiological studies, intervention
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-disciplinary, policy and/or programme evaluative research, along with experience of analysing and synthesising qualitative data, peer reviewed research and/or policy documents. The postholder will have a good
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the Course Director Nicky Longley, the Centre for Excellence in Learning and Teaching (CELT) multimedia team, and colleagues across LSHTM to design, develop, and deliver an innovative online programme. They
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to the design, nanofabrication and exploration of superconducting quantum devices. The post holder will work on the design, development, fabrication and implementation of superconducting quantum devices
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institutions in Africa to support capacity development in statistics in these institutions when such visits are appropriate and safe. The ideal candidate will have a postgraduate education in medical statistics
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31 December 2026. The post is funded by the NIHR Policy Research Programme and is available from 01 January 2026. The salary will be on the LSHTM salary scale, Grade 6 in the range £45,728 - £51,872
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, the models will incorporate novel estimates of vaccine waning and account for variation vaccine effectiveness across different populations within the UK. The post will be part of a large research programme on
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impacts (including their compound effects) on maternal and child health service use, and identify risk thresholds and drivers of vulnerability. The Research Fellow will also support the development
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develop research that can inform policy in this important area. The candidate should have a background in a quantitative subject, in particular epidemiology or medical statistics and be familiar with