22 data-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at King's College London
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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
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: Essential criteria PhD awarded in cardiovascular related research * Experience in cardiac MRI data acquisition and analysis in animal models of heart disease Experience with preclinical research models
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, for example when processing data or preparing manuscripts and presentations. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential
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, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates
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analysis, medicine development, medical analysis or medical device development Evidence of strong laboratory and clinical skills Good communication skills Experience of scientific report writing and data
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computing. You will join the Vision & Human-Robot Interaction (VHR) Group, which brings together researchers working at the intersection of computer vision, robotics, and assistive technologies. The team is
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for Research Staff 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 1. BSc in Physics
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Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you: To be successful in this role, we