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Applications are invited for a Postdoctoral Research Assistant in Data processing for the MIGHTEE survey. This is a senior role funded through the UKRI Frontier Research Grant of Prof. Matthew
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samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, you will help generate and interpret high-resolution datasets that reveal new insights
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Demographic and Health Surveys, the Generations and Gender Survey, the International Public Use Microdata Series, and the Human Fertility Database, among others, and linking these data with other databases
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strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced biological models, an international consortium of leading colorectal
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of blood and mucosal samples from clinical studies. Training will be provided but previous experience in microbiology is expected. You will also participate in developing and establishing methodologies
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organisational skills that might include, sample management, electronic lab books, working with collaborators. Ability to work supportively in a laboratory environment, and to supervise and educate junior co
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volcanoes in the eastern Caribbean. Research will include analysis of materials from pre-existing sample collections, and also collaborative fieldwork to collect new samples. About you You will hold or be
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for a fixed term (funded until 31 March 2026) You will coordinate of survey studies across all partner institutions, including design, delivery and evaluation of a Mental Health Literacy Course and
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an industry partnered project for translational drug discovery. The role will involve analysing large scale omics and spatial datasets from both primary patient samples and advanced in vitro model systems
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in continual learning settings. The core focus is on leveraging Reinforcement Learning (RL) to make the training and deployment of LLMs more computationally and sample efficient. This approach aims