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of hybrid quantum-classical modelling approaches that support improved analysis, simulation, optimisation, and decision making under uncertainty. The role will suit a researcher with strong technical
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Desirable experience: embedded systems development (C/C++) firmware development and debugging modelling, simulation, and data analysis using Python and/or MATLAB experience with thermistor sensors
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sensor arrays (temperature, relative humidity, CO₂, TVOC, PM2.5) and collecting biological samples (mould air and surface sampling) across study residences conducting quantitative data analysis across
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development of clinical and student training resources Assist with data collection and analysis, ensuring data quality and accuracy Collaborate with researchers, clinical specialists, and affiliated partners