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combines machine learning, legal applications, and empirical evaluation in collaboration with judicial partners. The project offers a unique opportunity to work on real-world, high-stakes AI systems in
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) to ensure efficient roll-out of the system Profile MSc degree in Geophysics, Seismology, Earth Sciences, Physics, Engineering, or a related field Strong quantitative and analytical skills as
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laboratory analysis, including generating isotopic or trace element data You have strong quantitative skills and comfort with coding, and good analytical thinking You are committed to working in
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qualitative and quantitative analytical methods to model clinician attention, verbal reasoning, and documentation behaviour Develop and evaluate machine learning models, including unimodal, fusion, and
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, the work will focus on the design and fabrication of functional electrode coating materials (nano-enzymes) and surface architectures that enable reversible analyte binding, high signal stability, and