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programme as well as other research collections, integrating findings with clinical data, epigenetic results, transcriptomics, and proteomics. They will work closely with other members of the MND research
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data), and development of robust statistical approaches appropriate to digital health research. The role will work closely with clinical, data science, epidemiology and technology colleagues across
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Nanopore). In addition, the role will include the collection and processing of DNA samples to create a training data set for age prediction machine learning models. Key responsibilities include: Undertake
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, behavioural, and cognitive data. Additionally, the candidate will act as the clinical lead for two experimental psychopharmacology studies examining paranoia in healthy volunteers following the administration
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through invasive catheter procedures. While these measurements provide valuable clinical information, they are costly, time-consuming and carry risks for patients. Developing reliable non-invasive
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team, who are focused on delivering insights and analysis to senior partners across King’s. We’re looking for a Lead Analyst to ensure we continue to enhance the value derived from our data assets
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and statistical stratification/subgrouping of autistic individuals. The role will process and analyse structural neuroimaging data drawn from existing multi-site cohorts, and apply normative modelling
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to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information
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possible service to our stakeholders. Be meticulous in attention to detail, ensuring data accuracy on the HR Digital Services and employee records data storage platforms. Draft and issue template contractual
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will work closely with Dr David Morris and collaborators to curate and analyse infection phenotype data, integrate large-scale genetic datasets, perform statistical genetic analyses, and contribute