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the utility and the robustness of different explanation strategies. A large focus of this project will be on leveraging novel and interpretable approaches in applied domains such as algorithmic fairness and
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scientists from, e.g., Sociology, Political Science, or Economics. The PhD candidate will also develop state-of-the-art optimisation algorithms specifically tailored to the proposed large-scale network models
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aims to design high performance ultra-low power analogue front end (AFE) system combined with edge computing ML algorithms that can sense, analyse, process and autonomously act to detect incipient events
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for a PhD studentship to investigate the genetic underpinnings of neuropsychiatric disorders using cutting-edge long-read sequencing (LRS) technology. This project aims to generate whole-genome LRS data
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phytate utilisation in soils. Project Objectives Investigate the genetic mechanisms of phytate utilisation in soils Identify the importance of different phytate utilisation systems in different ecosystems