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difficult to deploy outside large data centres. This PhD project focuses on developing resource-efficient computer vision methods that maintain strong performance while dramatically reducing computation
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convert solar energy into pressure potential energy, akin to pumping water up to an elevated reservoir but without the need for large natural elevation changes. A great idea in principle, but one which
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on accelerating disruptive technologies in UK manufacturing. Supported by the government, it partners with industry and research bodies to drive innovation across all UK manufacturing sectors, from SMEs to large
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their data. This will require effective communication with researchers from diverse backgrounds and the ability to translate between biological questions and computational analysis. You will be expected
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responsible for maintaining and managing establishment data within the University’s HR Information System (HRIS), ensuring accuracy, consistency and compliance across all position and structure records. You
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The Rights Lab at the University of Nottingham is seeking a team member to join a large project that is analysing the role of religion and faith in anti-trafficking and anti-slavery work globally
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into organisational value Senior leadership experience in IT, digital transformation, strategic planning, or data analytics within a large and complex organisation Experience of delivering enterprise-wide
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landholdings. We are a large and diverse department employing approximately 1250 people and provide a wide range of services across our UK sites. Applications are invited for an individual to join a busy and
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postgraduate computer science programmes. Supported by major research grants, the School of Computer Science at UNNC is developing strong research in areas including Big Data and Visual Analytics, Computational
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, including expert-annotated datasets and benchmarking studies. The project also includes academic research based on large-scale government and enterprise data, focusing on topics such as digital transformation