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Field
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with sensor system integration • Familiarity with experimental data analysis and custom device fabrication for materials characterization. • Ability to work effectively in interdisciplinary
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. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also
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project that involves designing microfabricated biomedical sensors and the readout circuitry for recording electrophysiology and electrochemical signals from biological samples. The overarching goal
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Sr gases for quantum sensing, the study of many-body physics and for quantum computing. We explore new ways to build sensors, such as superradiant clocks and collaborate with industry, startups and
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to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new
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, film, foam, or textile processing and characterization. Experience with smart textiles, wearable sensors, or wearable systems. Prior experience mentoring undergraduate or graduate students. Interest in
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discipline. A strong curiosity for human gait and neuromuscular control after stroke. Experience with wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python
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wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python) for algorithm development, control design, and data analysis. Confidence and interest in testing and
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group aims to bring fundamental changes in the way the sensors and electronic devices are developed using materials designed for sustainability, and resource efficient printed electronics on flexible
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on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems