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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 15 days ago
, Nanotechnology, or related fields. • Proven experience in one or more of the following areas: o (Bio)chemical sensors o Electrochemistry o Analytical chemistry o Wearable sensors (Attach publications or master's
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of novel and autonomous marine monitoring technologies (gliders, micro-AUVs, buoy stations with fixed and profiling sensors). Designing and organizing oceanographic experiments. Implementing autonomous
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-modal data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff, preparing
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us for an exciting doctoral journey to create the future of chemical sensors
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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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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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will address the intricate challenge of enabling AI to learn continuously and collaboratively from wearable or mobile sensor data without compromising user privacy. Your efforts and collaborations with
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beyond ITER with advances in HTS materials, manufacturing, sensors and machine learning. High current density cables are required for the design of compact HTS magnets in a fusion pilot plant (FPP
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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 design, implementation, and testing of statistical and AI software for analysing large healthcare-related data, including data from electronic health records, medical images, and sensor data from wearable