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To undertake research on the evolution of prokaryotic pangenomes using machine learning and AI approaches. The work will involve the analysis of large prokaryotic genome datasets, the development
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to conduct multidisciplinary research around robot learning for autonomous robotic chemists, with a background of excellent research outputs across Robotics and Machine Learning, ideally with a background in
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Glaucoma UK Project Grant in the Department of Eye and Vision Science at the University of Liverpool. You will join the research groups of Dr Lucy Bosworth (biomaterials and tissue engineering), Dr Carl
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, including engineers and veterinarians, to assess the effectiveness of the AG ARC machine. About You This position is ideally suited to a microbiologist with strong laboratory skills and an interest in applied
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We are seeking a talented, organised, and highly motivated individual to join the Department of Eye and Vision Sciences at the University of Liverpool as a Postdoctoral Research Associate, funded by
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track