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PhD Studentship: The Right Child in the Right Place: Reducing the use, and cost, of inappropriate placements for Plymouth’s looked-after children. Applications are invited for a full-time three-year
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focuses on AI-driven fault diagnosis, predictive analytics, and embedded self-healing mechanisms, with applications in aerospace, robotics, smart energy, and industrial automation. Based
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The project: As wearable technology becomes increasingly ubiquitous in our lives, it is urgent we better understand how we might use the technology and how the technology can enhance our lives. The VIVO Hub for Enhanced Independent Living aims to leverage digital and robotic technologies to...
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immunobiology of selected inborn errors of immunity (m/f/d) (part-time position 65% limited due the promotion for three years) Prof. Kaan Boztug is the newly recruited Clinical Director of the Department
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the need for sustainability to achieve Net-Zero goals. Cyber-Physical Systems (CPS) integrate machines, robots, and AGVs, but challenges like mechanical wear and electronic errors pose risks to efficiency
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-funded research institute at the Cardiovascular Center is a member of the DFG Excellence Cluster CPI, the German Center for Cardiovascular Research as well as the CRC TRR267 “Non-coding RNAs in
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spectroscopy - BE‐RIGHT” Position You will perform research in the field of pathology and breast cancer detection. This project aims to develop and validate a protocol for intraoperative assessment of resection
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aligning with NQTP Missions 1 and 2 and NQCC Testbed programme, will tailor the developed benchmarking approaches to error-corrected as well as distributed quantum computers, addressing the need for scalable
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Committee appointed for this purpose. 2. The Recruitment Committee reserves the right to invite only selected candidates for an interview, which will be held on first two weeks of October 2025. 3
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to compensate for such aberrations, significantly enhancing image quality. Adaptive requires knowledge of the wavefront to be corrected. Our team has been developing a machine-learning approach to wavefront