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£60 million. Similarly, implantable electronics like pacemakers and glucose sensors depend on degrading batteries, elevating patient anxiety. To address these issues, there is a growing demand for
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. This role is ideal for candidates with a strong background in embedded systems, sensor integration, and AI-based application development who are eager to work on innovative and high-impact projects
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algorithm level languages such as Matlab/Simulink, Python or similar * Demonstrated, successful experience developing software to communicate and exchange information (e.g. commands, status, data) with
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experience in radar research, developing signal processing algorithms for long-range ultra-broadband Synthetic Aperture Radar systems and short-range FMCW systems. In recent years, breakthroughs in
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but also leverage it to enhance sensor performance. The PhD student will play a key role in advancing these new radar signal processing algorithms. Job description The PhD research will focus
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-world solutions. The engineer will design algorithms, develop software, and integrate real-time and HPC sensing and communications systems. Major Duties/Responsibilities: Design and optimize signal
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teams in the design and implementation of cyber-physical systems (CPS) integrating sensors, actuators, control algorithms, and embedded systems. Guide the development and deployment of digital twins
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of the recruitment and description of the project Department of System Design ,Faculty of Robotics and Design, Osaka Institute of Technology https://www.oit.ac.jp/ [Work content and job description] Sensor Engineering
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) integrating sensors, actuators, control algorithms, and embedded systems. Guide the development and deployment of digital twins for real-world processes and infrastructures (e.g., factories, greenhouses
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. This may include writing and testing software in high level languages; writing and testing logic in hardware description languages; developing and testing signal processing algorithms from concept