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Innovation Collaborations (GIGANTIC). A core aim of this initiative is to extend and strengthen the excellent reputation Glasgow University has as a provider of high-quality science-based mental health
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systems beyond commercially available peptide based systems. A6 Knowledge of data science driven approaches to drug discovery algorithms. For appointment at Grade 8: A4 Some reputation in, and insight
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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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Sufficient relevant research experience [or equivalent] appropriate to an early career researcher E2 Experience of qualitative and/or quantitative data gathering and analysis E3 Experience of scientific
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of common programming languages for research computing (e.g. Julia, Python, C, C++, Fortran, R or MATLAB). B3 Knowledge of scientific computing packages, their installation and operation, e.g. LAPACK, OpenMPI
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particularly welcome research proposals in the areas of: Languages learning Second language acquisition Science of reading Learner motivation Values education Religious, moral and philosophical education
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and scholarly approach to student learning. To undertake limited administrative duties as requested by the Course Convenor/Head of Subject/Programme Director. To engage in training in teaching
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. Main Duties and Responsibilities 1. To contribute to the ongoing development and assessment of, and implement new administrative systems required for the BVMS undergraduate programme in conjunction with
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Job Purpose The Research Computing as a Service (RCaaS) Research Software Engineering (RSE) lead is responsible for the development and delivery of software engineering services for the University’s
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of a programme of engagement activities, including public and community engagement, events and exhibitions and skills development/training programmes and activities. Main duties and responsibilities 1