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in a relevant discipline, such as medical statistics, and practical experience applying research skills to deliver high-quality outputs within specified timelines. A PhD, or ongoing PhD studies, in a
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experience of handling data/knowledge of statistics is desirable. Support: The student will have participated in team meetings several times a week and will also actively participate in the bi-weekly technical
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to benefit from training and development opportunities associated with these bodies. Entry requirements The minimum entry requirement is 2:1 in Biology, Food Sciences, Sociology, Mathematics, Statistics
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statistical and/or analytical software packages (e.g., SPSS, R, Tableau, Power BI, etc). How to apply Interested applicants should contact Dr. Stefan Birkett (s.birkett@mmu.ac.uk ) for an informal discussion
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This PhD project aims to address one of the key challenges in the manufacturing industry, the increase in productivity by utilizing the equipment with its optimum performance and without any
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This PhD project will focus on developing, evaluating, and demonstrating a framework of novel hybrid prognostics solution for selected system use case (e.g. clogging filter, linear actuator, lithium
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progression to PhD depending on performance during the initial period. Main duties and responsibilities Admin - ordering consumables, tracking cost and use of consumables PIL training - opportunity to acquire a
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learning. The project involves a collaborative team, including a postdoctoral researcher and a PhD student, with specific objectives: Define and acquire a comprehensive database of high-quality video priors
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internships An additional disability allowance can be provided where appropriate Students opting to study part-time will receive a pro-rata maintenance stipend. Specified use +3/+4 - covering a full PhD
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one of the following analysis techniques (multiple preferred): normative modelling, dimensionality reduction techniques, machine learning, deep-learning, state space modelling, advanced statistics