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John Williamson, and Dr Sebastian Stein. The job requires the proven ability to develop novel theory and build and evaluate working interactive prototypes involving complex computational models
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appropriate bioinformatics, biostatistics and machine learning expertise. 2. Perform research using bioinformatics and computational approaches applied to virus and infected host cell data, in particular
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to strengthen business case development and navigate the commercial, infrastructural, and partnership challenges of a 10-year programme. Lead performance reporting to SMG, ensuring alignment with both Investment
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and administrative implementation of all related activities to ensure a high-quality research programme is delivered. Main Duties and Responsibilities 1. Provide high-level administrative support and
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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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This vacancy is open to current University of Glasgow employees only. Job Purpose To coordinate and implement the operational delivery of a broad programme of activities and funding initiatives
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research communities, ensuring the highest standards of performance, scalability and security are maintained. A research infrastructure technical expert with deep understanding of high-performance compute
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to contribute towards the STFC Late-Stage Commercialisation project “Natural NDT-CE” under PI Dr David Mahon. The candidate is also expected to support the wider experimental research programme of the Nuclear
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, physical layer design, machine learning, and their applications to wireless communications. The successful candidate will also contribute to the formulation and submission of high-quality research
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of Glasgow Centre for Virus Research (CVR) (http://www.cvr.ac.uk/) and will play a leading role in a UKRI-funded research programme focussed on identifying, characterising and manipulating host enzymes