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Field
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, multifunctional sensor systems for emerging applications in healthcare, robotics, and environmental monitoring. The successful candidate will apply materials science principles to engineer sensor performance
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to the development of high-performance, multimodal sensor systems with strong application potential in digital healthcare, robotics, and smart environments. The successful candidate will be an integral part of a
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g.: topics in Bayesian Inference and Robotics
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robotics, cybersecurity, sensing and signal processing, smart mobility and energy systems. In addition, they are using their expertise in interdisciplinary research initiatives across the university. We
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) Engineering design: Sustainability/net zero/decarbonising Engineering analysis: Materials characterisation and testing Renewable energy: Tidal/wave Robotics and control Nuclear engineering About Daphne Jackson
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twelve months] Duties The appointees will assist the project leader in the research project - “Methodologies for rapid reconfiguration of human-robot collaborative assembly production line towards human
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cybersecurity, digital forensics, vulnerability assessment, malware analysis, privacy technologies, and AI security AI and Emerging Fields: Smart healthcare, IIoT, computational fintech, robot-human interaction
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of modern robotics and AI technologies to synthetic chemistry, including high-throughput experimentation (HTE) and automated reaction analytical technology. The successful applicant must show the ability and
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. Integrate and automate manufacturing equipment (e.g., CNC machines, industrial robots, PLCs, machine vision systems) within a smart factory environment. Develop data acquisition pipelines using sensors, IIoT