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, lack of transparency, safety assurance, and sustainability. You will work at the forefront of AI research, exploring formal and dynamic verification methods, explainable AI, and data space integration
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health measurement kit, under 1-2-1 supervision. These tasks will include the collection of data on photosynthetic activity seedlings within a woodland plantation site, utilizing a chlorophyll meter
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hardware and data handling toolchains. The research will also involve modelling, analysis and characterisation of the system and components. The PhD will include a placement of minimum 3 months with Team
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: Profile E Further information about English language requirements and profile levels . Funding: University of Bristol PhD Studentship Scheme Contacts: For questions about the research topic, please contact
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To apply for this PhD opportunity please complete the application form using the 'Apply' button above. For further information please contact: Name: Mr Angelos Plastropoulos Email: a.plastropoulos
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acquisition of a range of environmental and operational data in the digitisation of food manufacturing processes for processing using applied AI techniques. We anticipate the successful applicant will develop
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soonest, in the first instance. To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above. Please ensure that you upload your Curriculum Vitae
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As a PhD student within the Economics Division, you will have access to a broad programme of research training opportunities. These include advanced methods courses, data skills workshops, and an
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-processing crucial. However, video restoration and enhancement are complex due to information loss and the lack of ground truth data. This project addresses these issues innovatively. We propose using prior
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to the full extent. The objectives of this project are i) to quantify the carbon footprint of silage production under different management practices using data collected in farm audits undertaken across the UK