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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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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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, data acquisition systems, and embedded hardware prototyping, preferably in aquatic or environmental monitoring contexts. Strong understanding of real-time digital signal processing, control systems, and
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embedded AI systems. They will demonstrate a strong track record of high-quality research in machine learning/AI and/or embedded systems, evidenced by publications in leading conferences and journals
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Postdoctoral Fellow. This position is available to individuals with research interests in neuromorphic computing, IC design, embedded systems, or AI. Successful candidates will hold a terminal degree in
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the development and translation of rehabilitation technologies is strongly preferred. Prior experience with embedded systems or biomechanical evaluation in wearable devices is desired. Special Instructions Contact
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Community Catapult Partner (Darnall Wellbeing in Sheffield) as an embedded researcher, leading and taking forward an ambitious programme of qualitative community research and engagement based
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campus facilities. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for
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the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded
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experimental setups involving camera systems, IoT sensor networks, or embedded sensing platforms. Experience designing and conducting experiments in aquaculture, animal science, or environmental biology is