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control strategies. Develop and implement advanced control algorithms for real-time operation and performance enhancement of power electronic converters and transformer-based solutions. Perform hardware-in
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to join our dynamic research team within the lab of Prof. Rong Li. The successful candidate will conduct cutting-edge research in the fields of cell therapy and cell rejuvenation, with a focus on
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Research Assistant, applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact Prof. Pai Zheng at telephone number 2766 5633 or via email at pai.zheng
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. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust algorithms for realistic settings in terms of data and computing resources and collaborates to address
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. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust algorithms for realistic settings in terms of data and computing resources and collaborates to address
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mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
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letter describing your interest in the role Names and contact details of three referees Informal enquiries to Dr Hazel Wilkinson, Deputy Director IDAI, email: h.j.wilkinson@bham.ac.uk or, Prof Slava
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. Preference will be given to those with a good command of English and publications in top-tier journals. Applicants are invited to contact Prof. Kinor Jiang at telephone number 2766 6430 or via email at kinor.j
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Fellow in Autonomous Systems and Control to design and implement efficient, performance‑guaranteed distributed control approaches, leveraging cutting‑edge learning algorithms and AI strategies
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development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake