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Join us for an exciting doctoral journey to create the future of chemical sensors! Imagine you could detect diseases right-away simply by measuring your breath. We are working at the interface
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This project aims to develop next-generation capacitive sensors seamlessly
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? Join us to develop deep learning techniques for fusing acoustic sensor data with other vehicle sensors for robust multi-modal environment perception. Help shape the future of autonomous driving! Job
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of aerospace components based on Digital Twin models. The goal is to create a virtual replica updated in real time using data from structural and environmental sensors, enabling continuous performance monitoring
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directly supporting industry to adopt agile manufacturing technologies and approaches. Find out more here: https://www.csiro.au/en/about/people/business-units/Manufacturing As an Experimental Research
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Materials Engineering, Nanotechnology and related areas, with an emphasis on the development and integration of sensors for monitoring temperature, structural degradation and humidity based on printed
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of prosthetic devices. The role would involve designing experiments to enable human participants to feel sensations from an artificial touch sensor, bridging the gap between artificial and biological touch and
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the context of prosthetic devices. The role would involve designing experiments to enable human participants to feel sensations from an artificial touch sensor, bridging the gap between artificial and
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-edge sensors with current computational tools and machine/deep learning. As a Postdoctoral Researcher, you will be a key member of our team responsible for designing the seamless integration
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 11 hours ago
orbit (LEO) sensors Integrate and test the impact of UV AOD observations from hyperspectral sensors in LEO and GEO orbits on the aerosol analysis and forecast utilizing the JCSDA-Joint Effort for Data