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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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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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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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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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stakeholders to plan and conduct evaluation studies. Main Duties and Responsibilities Perform the following activities in conjunction with and under the guidance of the PHIRST Fusion leads 1. Support the
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technical knowledge of high-performance and high-throughput computing and component parts. A6 Knowledge of sensitive (including clinical) data processing requirements including trusted research environments
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media performance. Skills Essential: C1 High creativity and enthusiasm, with the ability to identify opportunities and develop engaging, high-quality digital content that resonates with the target