310 cloud-computing-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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work with Prof Declan O’Regan, in the Computational Cardiac Imaging Group, as part of a British Heart Foundation funded program of research on “Understanding the transition from health to disease through
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, using qualitative, quantitative, and mixed methods Analysing policy and policy processes relevant to water Supporting the innovation/policy challenge ‘labs’ and capacity building programme Regular
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, you will: Develop and lead an independent research programme in one of the following four priority areas: Clean Energy Industries: Hydrogen and biogas fuels, energy networks, environmental economics
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Mathematics and/or Institute for Probability, Analysis and Dynamics. Post-holders will be expected to develop their own independent research programme on topics in Pure Mathematics. They will be expected
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on neurodevelopment and mental health within the Children Growing up in Liverpool (C-GULL) programme. About you The successful candidate must have a PhD in molecular epidemiology (or similar), or equivalent working
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We are seeking a highly motivated and skilled Research Associate / Fellow to conduct a programme of research on using flat optical fibre sensors to monitor reinforced concrete structures. This work
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well as genetically-engineered disease mouse models in vivo. The successful candidate will join an ambitious BHF-funded research programme aimed at uncovering how cardiomyocytes sense and respond to mitochondrial
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Centre for Polar Observation and Modelling (CPOM) land ice altimetry activities at Lancaster University, and will work to deliver a programme of high impact research. The primary responsibilities
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Mycology (MRC CMM) seeks an experienced assay development scientist to join a recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme
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. An MSC in statistics with expertise in causal inference would also be acceptable if the student is willing to complete a PhD. Experience in causal inference techniques such as g-computation, and propensity