28 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at University of Nottingham in United Kingdom
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This post is associated with ongoing research in the development and control of power electronic converters. Good communication skills are essential since the successful candidate will work closely with other colleagues and industrial partners. Based in Nottingham full time in office/lab. Start...
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computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
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Computer Science at the University of Nottingham is seeking a talented researcher with skills and experience in soft robotics, specifically in interactive materials to augment robot and human bodies
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become a core member of a team working on electrical machines, electromagnetic design, magnetic and insulation materials, thermal management, control, construction and testing of high-performance
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high-resolution additive manufacturing, specifically projection micro-stereolithography techniques, and in vitro bone cell culture. With an interest in mechanobiology, you will work at the interface
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We are seeking a highly motivated and skilled Research Associate / Fellow to conduct a programme of research on using flat optical fibre sensors to monitor reinforced concrete structures. This work
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. This role involves working with proprietary, genetically engineered bacteria to produce high yields of polyhydroxybutyrate (PHB) from greenhouse gases. You will be responsible for bridging the gap between
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We invite applications for a Clinical Research Fellow to join our multidisciplinary team investigating the role of heat-related gut–microbiota–brain-axis (GMBA) changes in psychosis as part of
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meaningfully to the success of the group through consistent effort, a commitment to high-quality research, and a willingness to support collaborative goals. The role holder will have the opportunity to use
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), developing and validating models that quantify infection risk in buildings using airflow and pollutant transport modelling. This role focuses on linking building performance, ventilation design, and pathogen