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Field
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digital research information infrastructures, and the metadata and analytics they provide, feed into different national, organisational, and disciplinary research evaluation processes and with what effects
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About the role Comparative genomics, and specifically our ability to identify which genes are related in different species, has revolutionized our understanding of the natural world. It enables us
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engineering, materials science, spectroscopy or fluorescent systems. Candidates with prior experience in the design, development and engineering of luminescent sensors and pressure sensitive paints are strongly
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environmental mastitis in dairy herds by improving cubicle hygiene through intelligent, sensor-driven automation. By contributing to this research, you'll be at the forefront of precision livestock farming
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algorithmic graph theory. The purpose of the role is to contribute to the project "Algorithmic meta-classifications for graph containment", working with Professor Matthew Johnson, Dr Barnaby Martin and
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environmental mastitis in dairy herds by improving cubicle hygiene through intelligent, sensor-driven automation. By contributing to this research, you'll be at the forefront of precision livestock farming
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researchers from around the world are tackling global issues and making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables Durham people to do
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methods to improve the deployment, adaptation capabilities and safety of robots and critical infrastructures. The developed algorithms will be evaluated on legged robots, wheel-based robots and under
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The Role Applications are invited for a Postdoctoral Research Associate in Computer Science with a particular emphasis on structural and algorithmic graph theory. The purpose of the role is to
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movement; (iii) generate benefits for both society and the environment by guiding possible mitigation strategies; and (iv) drive technological progress through the development of novel algorithms