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of The University of Glasgow Inference Dynamics and interaction Research group, in the School of Computing Science, including establishing and sustaining a track record of independent and joint publications
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Job Purpose You will contribute to/make a leading contribution to the EU Climinvest project, which aims to develop technology to support the assessment and creation of bankable and sustainable
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for implementing Target Enrichment-NGS and PhilSeq protocols and should have expertise in molecular biology and next-generation sequencing (NGS), including sample preparation and data analysis. The role will be
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myocytes or neurons. F9. Hands-on experience of the computational aspects of cryo-ET/fluorescence microscopy, including the use of dedicated software. Additional Details Informal enquiries should be
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strategy. Knowledge, Qualifications, Skills and Experience Knowledge &Qualifications Essential: A1 SCQF Level 10 (Honours degree) in Statistics/Computer Science or a cognate discipline, or equivalent. A2
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Job Purpose The post holder will drive an interdisciplinary artificial intelligence (AI) for cancer project. The project will develop novel computational methods that leverage state-of-the-art deep
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autonomous sensing systems. The project requires experience with setting up sensing hardware, software defined radio systems and other lab equipment for data collection in addition to experience of programming
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play a leading role in a Pfizer-funded research programme focussed on vaccine effectiveness of maternal RSV vaccination in infants in Scotland. This study will be a secondary data analysis of routinely
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tissue-level determinants of proarrhythmia in an experimental model of long QT syndrome (LQTS) with translation into novel risk stratification approaches using computational modelling. The successful
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. Specifically, the job requires expert knowledge in the design and synthesis of bioactive organic molecules. The successful candidate will also be expected to contribute to the formulation and submission