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- KINGS COLLEGE LONDON
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- Imperial College London
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studies, writing protocols, collecting data and disseminating findings. This two-year project will involve collaborative working with behavioural science colleagues in the Centre for Cancer Screening
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criteria Experience in ex vivo and in vitro models of cardiovascular disease Experience in spatial transcriptomic, single cell sequencing or other -omics techniques and data analysis Experience in tissue
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We wish to appoint an exceptional person to join the Magnetic Resonance Imaging (MRI) team within the Neurological Disorder and Imaging Section to provide a novel and proactive approach to data
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bioinformatics workflows that integrate population-scale genomics with other omics data, contributing to the advancement of molecular precision healthcare. You will also have the opportunity to integrate omics
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written communication skills. Good practical and organisation skills. Computer skills (Office, information technology, bioinformatics). Desirable criteria Personal Licence holder (for BSU work). Research
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Experience in report-writing, collating, maintaining and deploying data-sets to produce, interpret and present data reports and analysis Effective team working with a collaborative style and ability to work
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epidemiological research. Strong quantitative data analysis skills and applied understanding of epidemiological principles are required. They must possess excellent interpersonal communication skills and be
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8 Mar 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Biological sciences Computer science Mathematics Researcher Profile Recognised Researcher (R2) Established
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bioinformatics workflows that integrate population-scale genomics with other omics data, contributing to the advancement of molecular precision healthcare. You will also have the opportunity to integrate omics
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About the Role This is a new post at the forefront of medical research using very large clinical research databases. It lies at the interface between epidemiology, medical statistics, data science