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collaboration with various partners. This will enable to combine ultrasonic measurements with tracer analyses on samples of different materials, hydrophone measurements, pressure sensor readings and/or
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Engineering, Electronics, Industrial Computing, or related fields, and demonstrate proven skills in: Embedded systems (MCU programming, tinyML); Programming in C/C++ and/or Python; Integration of sensor systems
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: Experience with physiological or movement data, such as electrocardiography or wearable sensor data. What else do we offer you We offer a temporary full-time position of 38 hours a week for a term of 4 years
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frameworks applicable to monitoring and decision support systems. Study of integration solutions and communication mechanisms with sensors. 2. System specification and documentation: Identification and
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of the state of the art regarding technologies, architectures, and frameworks applicable to monitoring and decision support systems. Study of integration solutions and communication mechanisms with sensors. 2
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-supported, situation-adaptive system to support older people in their everyday lives or geriatric patients during hospital stays. Continuous monitoring using sensors will analyse subjects’ behaviour, identify
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-supported, situation-adaptive system to support older people in their everyday lives or geriatric patients during hospital stays. Continuous monitoring using sensors will analyse subjects' behaviour, identify
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devices that can adapt to a wide range of environments and applications, based on core technologies for the design, fabrication, and control of wearable devices, stretchable sensors, implantable devices
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power constraints of smart glasses, specifically about sensors, electronics, and batteries. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements
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cycle, will be evaluated as a proxy for photosynthetic efficiency. The objective is to validate tools that can be transferred to field applications, including the use of embedded sensors or remote sensing