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Field
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specific behaviors, analyzing and interpreting imaging data to support neuroscience research objectives, collaborating with interdisciplinary teams to develop and optimize imaging protocols, and performing
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Mechanical/Electrical Engineering or related subject, with a proven track record of publishing in high quality international academic journals and experience of working as a research student in an engineering
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expertise and an established track record in machine learning across different data domains of mental and/or neurological disorders. Experience in analysing high-dimensional data such as structural and/or
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expertise and an established track record in machine learning across different data domains of mental and/or neurological disorders. Experience in analysing high-dimensional data such as structural and/or
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task objectives, organise work and delegate as appropriate, keeping accurate and comprehensive records of work undertaken. You will contribute intellectually to the development of projects and help shape
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microscopy and associated advanced and automated data processing. Knowledge of semiconductor physics and a track record of working with next-generation novel materials for light-harvesting is essential
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, photoconductivity, x-ray diffraction, and the related analysis and modelling. Knowledge of semiconductor physics and a track record of working with next-generation novel materials for light-harvesting is essential
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to agree clear task objectives, organise work and delegate as appropriate, keeping accurate and comprehensive records of work undertaken. You will contribute intellectually to the development of projects and
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of inherited heart disease. Candidates should hold a PhD or MD with significant experience in cardiology, and experience in cardiac imaging (Echo andor CMR). A strong track-record of first author and/or senior
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codebase hosting on open-platforms is required Demonstrated track record of experience with RNA sequencing data Considerable experience on operating complex command line tools and pipelines/workflows