18 data-"https:"-"https:"-"https:"-"https:"-"U.S"-"St" Postdoctoral positions at King's College London
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conditions. About the role We are seeking a highly motivated postdoctoral Research Associate in research data science and analysis to join Professor Gerome Breen’s internationally recognised team at King’s
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Fluency in English Strong skills in
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modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial transcriptomics, proteomics, metabolomics, and metallomics data. Using advanced techniques
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scenarios. A key responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from individual and population
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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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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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, clinical, imaging, and general population data in a multidisciplinary research environment. The postholder will work under the supervision of PI Prof Mitul Mehta (KCL) and Co-I Amir Englund (KCL), and also
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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
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging
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. Apply by uploading your generic CV and research proposal through AJO. For further information please contact Malcolm Fairbairn (Malcolm.fairbairn@kcl.ac.uk ). Salaries (including London weighting) will