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, and its Snow Processes group works on wide ranging questions on snow, snow transport and snowfall precipitation. We are looking for a PhD student for Snow Water Equivalent innovative sensor development
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for assessing heat stress and evaluating mitigation strategies Plan and perform experiments using thermal manikins, environmental sensors, physiological measurements, and climatic test facilities Analyse and
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directions include: Using AI to learn parameters and design circuits for quantum optimization algorithms (e.g., beyond QUBO formulations for QAOA) Developing AI-driven methods to discover quantum optimization
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the perfusion hardware; developing improved control software and sensor integration for real-time monitoring of physiological parameters (pH, oxygen tension, glucose, lactate, pressure, flow); and supporting
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analysing time-series data from smartphone sensors and usage logs using advanced statistical and machine learning approaches to develop personalised nudging and adaptive interventions. The candidate will also
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without invasive surgery. Project background We develop advanced focused ultrasound technologies, adaptive closed-loop control algorithms, and ultrasound-responsive micro/nano therapeutic carriers as an