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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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are related across Australian housing types; including coordinating a year-long field monitoring campaign, collecting and analysing sensor and occupant perception data. Reporting to Associate Professor Arianna
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the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling
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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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• Design, prototype, and test microfluidic devices, electrochemical sensors, and portable diagnostic systems. • Support fabrication processes including micro/nanofabrication, surface
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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, wearable sensors, biosignals, and sleep physiology. Excellent problem-solving abilities, with a demonstrated capacity to contribute to cutting-edge research, secure external funding, and effectively
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from patients with psychotic illnesses, curate and process these datasets, and derive both functional and structural brain networks. This will include using our group’s new Morphometric Inverse
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at the University of Arizona is seeking a postdoctoral research associate to develop theoretical and computational approaches for understanding how biological neural networks organize activity through nonlinear
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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