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Field
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Applied Sciences has a vacancy for PhD Research Fellow in Semi-Autonomous Teleoperated Robots The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor
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the development of integrated sensor arrays through innovative materials design and validation techniques. This role supports NTU’s strategic direction in cutting-edge sensor research by contributing
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operation. Develop modular architectures for multi-agent coordination, sensing, and communication. Integrate sensor suites, flight controllers, and swarm coordination algorithms into UAV platforms. Conduct
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Expertise in robotic system Familiar with ROS1 / ROS2 Good publication track record is an advantage. A thorough knowledge of the research field of localization and sensor fusion is highly preferred
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working with industry partners to translate this new technology into commercial sensors for vineyard installation. Further opportunities involve integrating the research data into the National Smoke
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project with real clinical potential The Opportunity Are you a highly motivated and technically proficient researcher with expertise in electrochemical sensor development and biomedical engineering? We
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eHC through reduced scale testing. Lastly, you will also need to evaluate the various gas monitoring sensors performance in detecting the battery gas releases for remote monitoring and early detection
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-making algorithm for autonomous vehicles. The work will involve sensor fusion, perception, trajectory prediction and test rig set-up, and experimental validation. Job Requirements: PhD Degree in Vehicle
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
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simulation tools such as MATLAB/Simulink. • Exposure to AI/ML techniques, particularly as applied to sensor data, diagnostics, or control optimisation. • Proficiency in software development