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are seeking a part-time Research Assistant to support the analysis of data from a randomised controlled dietary intervention trial investigating the effects of dietary intake of potatoes on cardiometabolic
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of routinely collected maternity data and can be linked with other health datasets in south London such as the records of the local mental health Trust using the Clinical Record Interactive Search
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publications in the CH-CYCLE project. See more information about the project here: Renewable energy-driven recycling of CO₂ and H₂O into consumer products and fuels (CH-CYCLE) - UiO:Energy and Environment
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Mental Health Younger Generations Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis
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specialist training curricula, undertaking literature searches, data extraction, and synthesis of findings. The post holder will assist in organising and coordinating multilateral meetings with senior
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developed new food applications to impact blood glucose control, collected big data through citizen science to understand individual responses to food, pioneered the low FODMAP diet as a treatment for IBS
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page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being
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digital research information infrastructures in the practices of research evaluation and their governance. The project the Research Associate will work for pursues the following core research question: How
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analyse and visualise the resulting patterns to uncover fundamental principles of neural circuit organization and function. This work bridges computational neuroscience, systems biology, and data
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a