382 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" Fellowship positions in United Kingdom
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Field
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Kids in Scottish prisons. The successful candidate will significantly contribute to data collection, data analysis, write-up and dissemination of results. They will collaborate with the Scottish Prison
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, including first-in-human studies, trials involving digital health technologies, real-world data analyses, and translational research. The post holder works as part of a team, with day-to-day responsibility
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the Lymphovascular Research group collaborating with computational, clinical and laboratory scientists. The post holder will support the group by analysing genomic data to identify and characterise genes underlying
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by anxiety, depression, eating disorders and other mental health conditions. About the role: We are seeking a highly motivated postdoctoral Research Fellow in statistical genetics and genomic data
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peatlands for use by policy makers to define areas of peatland for conservation and community use. The mapping will make use of extensive ground data collected over the past decade and publicly-available
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estimations in humanitarian and public health contexts by developing reproducible, multilingual workflows for social media analysis, building data pipelines in R/Python, and creating open-source tools for text
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) to provide benchmark data as well as the quantum technology gravity gradient sensor. This involves close liaison with colleagues across campus, especially as part of QuSIT, partner institutions, project
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will work across four Work Packages, developing partnerships with schools, project partners and other groups, and using mixed methods to collect and analyse new data and synthesize existing data sets
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, educational achievement, emotional wellbeing, mental health, and quality of life. In this project we will use linked routinely collected health and education data to address gaps in our understanding about
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and synthesis of small molecules and/or compound libraries. Experience in analytical techniques, such as NMR, HPLC and LC-MS. Experience in compound data analysis. Experience in lab project supervision