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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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. 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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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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. Develop research objectives and proposals for own or joint research, in the area of interest of the hosting laboratory (Prof. T. Carlomagno) Contribute to writing bids for research funding Acquire, analyse
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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
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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until 31 August 2028. Informal enquiries should be directed to Prof. Tim Minshull (tmin@soton.ac.uk ) We are proactive in fostering a culture of inclusion, respect, and equality of opportunity. We select