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laboratories, as available instruments (e.g., gas chromatography or mass spectrometry) are bulky, costly and have to be operated by trained personnel. Project background Chemo-resistive gas sensors based
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Development of a hybrid modelling approach combining sensors on the infrastructure and vehicles Design and setup of dynamic objects for the AD test track Validation of the sensor selection methodology through
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input decoding. Signals will originate from embedded sensors on wearable devices, including IMUs (motion sensors), eye gaze, microphones, EMG (myography), and PPG (optical heart rate sensors). We will
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100%, Zurich, fixed-term Intelligent devices are everywhere (in sensors monitoring infrastructure, in medical prostheses, wearables and smart speakers). However, their autonomy is severely
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to treat diseases using cells. Our research is focused in making sensors that can be used for monitoring process in living cells, and we're especially interested in using nanopore sensors for this purpose
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Dynamics via Innovative Scale-Invariant Seismic Monitoring and Multi-Sensor Integration”, we aim to further develop novel seismic monitoring and analysis methods utilizing machine learning techniques
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background Within the framework of the SNSF-funded project “EFFSIMMSI: Advancing Induced Earthquake Forecasting and Fracturing Dynamics via Innovative Scale-Invariant Seismic Monitoring and Multi-Sensor
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of acoustic roughness. This project explores the feasibility of a non-contact measurement approach using optical laser triangulation sensors to gauge rail roughness from moving trains. Your profile You have to
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considered. In short, promising applicants have built their own physiological sensor before (e.g., PPG, ECG) and custom PCB as part of an embedded device. To learn more about our research, check out our
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and electrical engineering, movement science, neurorehabilitation and neuroscience. The RELab uses robotics, wearable sensor technologies, and non-invasive neuroimaging to explore, assess and restore