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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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: • PhD (or strong industrial experience and a Master’s degree) in Control Engineering, Power Electronics, Embedded Systems, or closely related disciplines. • Proven experience in the design and
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annum dependent on qualifications and experience, in line with current pay protection and transitional arrangements in the NHS. This is a full time, fixed term position for 12 months. The Oxford
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continuation of PhD research. Prior to applying, discussions regarding the planned research proposal must be held with a University of Lincoln academic staff member who is willing to act as the Fellowship
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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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, identify targetable vulnerabilities, and contribute to next-generation precision medicine approaches. With joint supervision from leading professors and embedded in interdisciplinary world-class facilities
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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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local authority staff and wider partners in building their quantitative research capacity and capabilities. The Embedded Researcher(quantitative) post will form an integral part of the workstreams, with a
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of study and a step-change towards the global goal of eliminating forced labour, modern slavery, and human trafficking. This role is one of seven new roles being recruited into the Rights Lab at the University
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of study and a step-change towards the global goal of eliminating forced labour, modern slavery, and human trafficking. This role is one of seven new roles being recruited into the Rights Lab at the University