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organisations. Applications are invited for a Reader to join the Better Health & Care Hub with the skills and commitment to drive an ambitious vision for research and education relevant to the aims of BH&CH
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Engineering, Computer Science or related disciplines. Experience in autonomous system, manufacturing/robotics and machine vision development will be an advantage. To apply please contact the supervisor, Dr Kun
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fundamental questions in bioscience, and translate that knowledge into societal benefits. Our strategic vision, Healthy Plants, Healthy People, Healthy Planet , sets out our ambitious long-term goals
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apply. Please ensure that you reference the application criteria in the application statement when you apply. Essential criteria A PhD in Acoustics, Sound Scattering, or equivalent research experience
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to the commencement of the PhD. Vision We are seeking for a highly motivated PhD student to conduct cutting edge research of the AI techniques that will power future flexible manufacturing systems. Together, we will
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/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition, applicants should be highly motivated, able to work independently, as
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academic leadership and management skills and gain a teaching qualification. Associate Lecturers are expected to contribute to class teaching on the undergraduate degree programme and other teaching on
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to develop and validate paediatric bone models through a combined computational and experimental approach, in collaboration with clinical partners at the Sheffield Children’s Hospital. The ideal candidate will
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in the research and management of the Computational Materials Discovery group. You supervise and guide students at the bachelor, master and PhD level. You contribute to the teaching activities in
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ambitious project. You should hold, or be close to completing, a PhD in a relevant field such as applied or pure mathematics, physics, control engineering, or computer science. You will join both the SAMS