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to a large-scale, interdisciplinary research programme. We are looking for someone with proven expertise in a fast-paced environment, who is committed to delivering high-quality research support and
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correlated electronic structure and chemical dynamics, with a view toward implementation on hybrid quantum computing platforms. Opportunities also exist to explore applications in quantum materials. Besides
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, artificial intelligence/machine learning, digital twins, and blockchain technology for operations and maintenance. This position is part of the Maritime Future Fuels Training Plan project, which aims
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Investigators (PI): 1. Plan and conduct assigned research individually or jointly in accordance with the project deliverables and the research strategy of the School of Cardiovascular and Metabolic Health. 2
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programme of work jointly delivered between University of Liverpool and Mersey care NHS Foundation Trust (MCFT) until December 2027. It will have wide reaching benefits to the region whilst raising
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, artificial intelligence/machine learning, digital twins, and blockchain technology for operations and maintenance. This position is part of the Maritime Future Fuels Training Plan project, which aims
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mathematical skills, a strong understanding of mechanics and an ability to undertake scientific programming. You will have excellent written and oral communication skills, and an ability to work both
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communications (ISAC), and their applications (particularly in securing and rural scenarios) , and will be expected to support Dr. Zhuangkun Wei and Prof. Hongjian Sun. The post holder will proactively engage with
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analysing medical images and working with data Strong programming skills in R or Python Good communication skills and ability to work in a team Ideally, you would also have: Experience with AI and machine
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at regular GLIDE workshops. You will be responsible for carrying out collaborative research with colleagues at the Berman Institute and play a key role in participating in the exchange programme with Johns