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knowledgeable individual to join our team as a Lecturer or Senior Lecturer in Embedded Systems. You will contribute to innovative teaching and cutting-edge research in engineering. The role involves developing
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Research offers an opportunity to explore AI-powered embedded systems, avionics, electrification, robotics, manufacturing, and healthcare applications. Students will specialise in either embedding AI
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This PhD opportunity at Cranfield University invites ambitious candidates to explore the frontier of energy-efficient intelligent systems by embedding AI into low-power, long-life hardware platforms
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This PhD opportunity at Cranfield University invites candidates to pioneer research in embedding AI into electronic hardware to enhance security and trustworthiness in safety-critical systems
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includes embedded and sensing systems, tinyML, data science, AI and software development. Responsibilities encompass active involvement in the ProSensing project's development activities, such as AI on Edge
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highly motivated and technically proficient Research Fellow in Control and Embedded Systems Engineering to support the development and deployment of intelligent, safety-enhanced BMS technologies within a
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compliance with EV charging communication protocols (e.g., ISO 15118, DIN 70121). Conduct EMI noise analysis and mitigation for high-power DC charging systems. Develop and troubleshoot embedded hardware and
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are met and will help build the institution's understanding and capabilities in student administration and its associated systems. The post holder will liaise with programme and project offices embedded in
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improvement, ensure best practice is embedded, and lead on new initiatives that keep our business support function agile, responsive and customer-focused. This post is open-ended (permanent) and full-time (35
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system, including a suitable camera and an embedded system, will enable real-time acquisition of images of the tube carriage, from the side of the carriage, and subsequent image processing algorithms