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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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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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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
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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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are working to set up a new,human challenge model ofStaphylococcus aureus skin infection. This model will be used to study the early interactions between the human immune system and invading bacteria. From
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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. About the role
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, embedding of project outcomes and with the central IMPACT team located at the University of Birmingham. IMPACT has been funded by the ESRC and the Health Foundation to improve social care outcomes by