370 data-"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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health data. In combination, this permits a more process-based understanding of malaria risk enabling targeting of interventions based on specific eco-hydrological settings. Main Duties and
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In this role you will develop cutting edge AI approaches to help researchers identify scientific information in historical manuscripts. Specifically, working with the Royal Horticultural Society
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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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team members to examine patients’ responses by analysing EEG and behavioural data. Candidates are expected to hold a medical qualification (MBBS or equivalent) and be fully registered with the GMC, have
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cutting-edge data from new ground and space-based facilities to address fundamental questions in galaxy evolution? Then this might be the right opportunity for you. The Astronomy Group within the School
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alignment, control software and data analysis. You will be an excellent communicator capable of working effectively both independently and as part of a research team. You will be approachable and
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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