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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | about 2 months ago
electrochemical characterization of enzymatic sensors. Where to apply Website https://pica.cineca.it/unipd/ Requirements Additional Information Eligibility criteria - Italian or foreign candidates who possess, by
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talented and versatile PhD student to develop digital biomarkers from continuous, real-world sensor data. Progressive supranuclear palsy (PSP) is a form of atypical parkinsonism characterized by its highly
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-based, wireless communications and autonomy technologies. Collect and archive machine performance data including live video streams, CANBus data to characterize machine performance, times series sensor
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levels. The targeted application will concern multi-sensors based systems for autonomous vehicles embedding AI perception or decision modules. The experiments will rely on embedded platforms available
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such as protecting embedded systems from vulnerabilities rooted in sensor physics, studying the impact of physical signals (e.g., acoustics, lasers, electromagnetic emissions) on AI and sensing systems, and
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, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the world. Read more about the division here: https://liu.se/en/organisation/liu/isy
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of an industrial chemical process. ii) Identification and definition of the various modules to be developed, particularly integration of data from IoT-based sensorization, user management, data security, and
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for skin impedance measurements. 2. Selection of optical sensors to correlate optical measurements with impedance measurements. 3. Evaluation of impedance sensor performance through skin simulator testing
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materials in microgravity conditions, specifically for use onboard the Airbus A310 ZeroG (parabolic flights). Integrating advanced diagnostics in the new rig (e.g., optical sensors, thermal imaging, gas
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programme Reference Number AE2025-0568 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0568