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mathematical study of our universe. Home to eight diverse, high-performing departments and numerous institutes and centres including the London Centre for Nanotechnology, Institute for Materials Discovery, and
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growing research reputation and commitment to delivering high quality teaching. We are particularly interested in candidates who have experience of delivery and management of new educational content with a
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at module and programme level to ensure it is contemporary, inclusive, engaging and academically challenging; actively engaging students in curriculum design; making an impactful, high quality
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tune control systems for mission-specific payloads (e.g., gimbaled cameras, spotlights, delivery mechanisms) to ensure stable operation and precise control during flight. Edge Computing Implementation
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modelling or plasma-assisted combustion tools (e.g. ZDPlasKin), reacting flow solvers (e.g. Cantera), or CFD platforms (e.g. OpenFOAM) would be advantageous. Experience in high-performance computing, or non
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Knowledge Transfer Partnership project represents an exciting opportunity to develop innovative high-voltage fault-managed power systems for both domestic and commercial applications. You will lead this
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therapeutic potential in schizophrenia and contribute to the overall research performance of the School and University, carrying out research leading to the publishing of high-quality research. To pursue
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studies coding transcripts which may include developing high-quality code for data preparation and data analysis using commonly used computer languages carrying out descriptive data work including
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provide strategic leadership across our FE & Skills provision, driving exceptional student experiences and outcomes. You will lead and develop high-performing teams, championing excellence in teaching
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, computer science, or a closely related discipline (typically first-class or high 2:1, or equivalent; Master’s welcome) • Strong programming skills (for example Python, MATLAB, C/C++) • Strength in at least two of