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current legislation for non-deterministic AI systems. (2) Create new compliance testing procedures and processes for agricultural AI machine learning systems. These are essential for manufacturers
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@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience and include a paragraph about your motivation to study this PhD project.
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methods. To apply, please contact the supervisor of Dr Shanshan Xu (Email: shanshan.xu@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant
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@manchester.ac.uk. Please include details of your current level of study, academic background and any relevant experience and include a paragraph about your motivation to study this PhD project.
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molecular biology, quantitative imaging and biophysical approaches to investigate cell shape changes in cultured cells and in vivo. Current projects in the lab include investigating the regulation
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. Our current research has an overarching focus on sustainability in and from space, working closely with industry and agency partners to deliver cutting-edge solutions for real-world problems
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reduces computational cost and enables large-scale reactor simulations, current porous approaches, based on Reynolds-averaged Navier-Stokes models, rely on empirical correlations and assumptions that may
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includes not only our staff and our current students but also thousands of Leicester graduates around the world. As a diverse and forward-thinking employer, we embed the principles of equity, diversity and
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for understanding natural magmatic processes on earth & other planetary bodies. Neutron diffraction is a powerful technique for studying the atomic scale structure of these materials, but the current technology to
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on renewable electricity, is an interruptive technology to save CO2 emission from the ammonia industry, while the key is to develop efficient and stable electro-catalysts. To develop and support a strong ethos