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-term position of three years, including merit for previous work, and is expected to start on 1 December 2026 or as soon as possible thereafter. The position is based at the Department of Materials and
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electrification and modern power grids. New wide-bandgap semiconductor devices based on silicon carbide (SiC) and gallium nitride (GaN) can switch faster and reduce conversion losses, but their performance is
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neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI
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Organizational Unit: Clean Energy Innovation Classification: RO Tenure: Term Duration: Until 31 March 2029 Language Requirements: English Work arrangements: Due to the nature of the work and operational
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on the candidate’s skills and interests, but may include genetically engineering microbes to change form and function, developing theory and AI methods that advance our ability to design reliable, engineered
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individual expressive behaviours. The project builds on recent work showing that person-specific cognition can be computationally approximated by learning personalised neural architectures or model weights
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Health and Primary Care). This is an opportunity to work with Professor Fitzgerald and her research group, who are internationally renowned for their work on Barrett's oesophagus including the development
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We offer you Interdisciplinary work in a highly collaborative environment A unique environment combining state-of-the-art ultrafast experiments at University of Applied Sci-ences and Arts
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promising candidates for this goal, combining fast electrical control, compact device geometry, and excellent performance in a semiconductor platform. As this technology advances, one of the main remaining
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this: new chemistry methods that let around 100 candidate compounds be made, purified and tested for biological activity together, in a single operation taking as little as a week. You will apply this new