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strictly controlled. More information relating to the manner in which we process your personal data is located within our privacy notice for staff, job applicants and others working at the University
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required (e.g. a BSL interpreter). If you have any general queries about the applications process, please contact soss.pgradmissions@hw.ac.uk
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the risk of missed defects. Using the power of Artificial Intelligence (AI), this research aims to: Automate defect detection in complex 3D structural data Enhance diagnostic accuracy and processing speed
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) for queries related to the application process. Please quote reference NM46040 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity and
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information about the application process, please consult our PhD programme webpage or apply directly by clicking the 'Apply' button, above. Before applying, you should carefully review the research carried
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Within energy from waste (EfW) plant, non-recyclable waste is combusted to extract useable heat to create electricity. This process has two major benefits: 1, electricity is generated from a source
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computer literacy, good inter-personal communications skills. Desirable skills: A Master in Health Economics with experience in cost effective analyses. Funding notes The three year studentship covers UK
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@sussex.ac.uk . For questions relating to the online application process, please contact enginf-pgr@sussex.ac.uk
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research or an undergraduate project. Application Procedure Informal enquiries are encouraged to Dong.Liu@eng.ox.ac.uk , Martinez-paneda@eng.ox.ac.uk Candidates must submit a graduate application form and
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projects within the Centre for Assured and Connected Autonomy. The research will significantly enhance aircraft maintenance processes by reducing inspection times, costs, and human error risks. It will