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large complex organisation. A4 Knowledge of process improvement Desirable: B1 Knowledge and understanding of research funding. Skills Essential: C1 Ability to prioritise workload and work to deadlines. C2
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We are researching testing and validation procedures for new high efficiency electrical machines for future aircraft power generation systems in collaboration with Safran Electrical & Power UK and
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young people). The role requires the ability to translate research into actionable design outcomes. Experience with co-design and participatory methods is desirable. The Lecturer will contribute
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architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) is preferred. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply
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and electrical and optical systems Skills Essential C1 Skills in TCAD simulation as well as Python or appropriate programming language for developing SPAD specific simulation models, and the ability
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our organisation, and we will invest in you too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information. Closing date: 23:45 on 23 April 2026
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from different techniques and scales. The ability to travel and conduct research in multiple locations across the UK and Europe is essential. Complementary understanding of hydrothermal systems, OCCs
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systems and data management tools relevant to epitaxial growth and Facility operation. A6 Knowledge of, or ability to rapidly develop an understanding of, School, College and University -level research
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or a similar role within a complex organisation, ideally within higher education. You will be highly organised, with the ability to manage competing priorities and deliver work accurately to deadlines
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, and user support; development and operational support of our HTCondor service (https://ri.itservices.manchester.ac.uk/htccondor/ ). It is expected that the role will be approximately: 70% technical; 30