375 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" PhD positions in United Kingdom
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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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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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processes. Objective 2: Develop methods to measure and assess interoperability, helping identify where and why issues arise. Objective 3: Create solutions that address interoperability challenges and meet
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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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) 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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@sussex.ac.uk . For questions relating to the online application process, please contact enginf-pgr@sussex.ac.uk
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cloud data centres. However, this can come at the cost of performance and slower function processing, which manifests as higher energy consumption and increased operational costs (OpEx) for operators. So
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desirable but learning can be completed during the PhD. Excellent communication and interpersonal skills to facilitate collaboration within interdisciplinary research teams. Application Process: To apply
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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