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Field
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of synthesis mechanisms and applications in sensors", supported by FAPESP, seeks candidates for a Postdoctoral Fellowship to develop research at the Institute of Chemistry USP, in São Paulo. Candidates should be
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Industry 4.0, yet their performance deteriorates over time due to sensor drift, process variations, and system changes. The CareFree Models Project addresses these challenges by developing frameworks
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units for air quality monitoring are urgently needed to preserve air quality, human health, and the environment. Current state-of-art commercial miniaturized gas sensors based on classical oxygen
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of a next-generation turbidity meter (Arduino-based with radio communication to a central controller). * Develop and validate calibration methods for new sensors for turbidity and existing commercial
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: Strong background in controlled environment agriculture (e.g., greenhouse or growth chamber research). Experience with experimental design, data collection, and statistical analysis. Experience with sensor
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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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description AI-enabled polymer monitoring via multi-sensor intelligent non
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of UAV demonstrators at UM6P and OCP sites. Methodology: AI Development: Reinforcement learning, computer vision, and sensor fusion for autonomy. Digital Twin & Edge Computing: Implement real-time
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central controller). ● Develop and validate calibration methods for new sensors for turbidity and existing commercial sensors. ● Explore high-frequency turbidity monitoring as a tool for assessing
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, and iterate the design of a next-generation turbidity meter (Arduino-based with radio communication to a central controller). ● Develop and validate calibration methods for new sensors for turbidity and