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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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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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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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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. The Department
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’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. The Department of Women and Children’s Health is a lively and supportive
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of turbulent Taylor-Couette flows, incorporating high-fidelity approaches to simulate a two-phase gas-liquid system, with embedded photo- and electro-chemistry reactions. You will then utilise the developed tool
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Job Description Position Details School of Social Policy and Society Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130
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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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simulation of turbulent Taylor-Couette flows, incorporating high-fidelity approaches to simulate a two-phase gas-liquid system, with embedded photo- and electro-chemistry reactions. You will then utilise