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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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four-year full-time PhD structure (three years research + one year writing-up and examination) Start date: September 2025, January 2026. Application process: Rolling admissions—apply early to secure your
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documents . You do not need to include a research proposal. Please contact Dr Stephen Mears (s.a.mears@lboro.ac.uk ) with any questions you have about the application process and/or your suitability
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exhaustive, and the PhD candidate will be required to undertake such tasks and responsibilities as may reasonably be expected of a PhD candidate. Application process The application should include: a
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relating to the role ( andrew.dunning@bodleian.ox.ac.uk ). General queries about the recruitment and application process should be directed to the Recruitment team ( recruitment@glam.ox.ac.uk ). Only
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for sports-related subjects (QS World University Rankings by Subject 2017-2025). Entry requirements: A 2:1 honours degree (or equivalent international qualification) in engineering, physics, sports & exercise
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participate in a chalk talk to present their research plans. This process is designed to ensure a transparent, inclusive, and fair selection. We are seeking two early-career investigators with an outstanding
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of the project is to 1) develop computational pipelines for image analysis and physical analysis of cell shape trajectories, and for combined morpho-molecular analysis of cell shape together with molecular markers
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Gerard Cummins at G.Cummins@bham.ac.uk with a CV and academic transcripts. Further details are available here: https://www.intelli-ingest.com/individual-doctoral-project The selection process is open
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/PhD) in their research activities, where appropriate. They will be responsible for maintaining accurate and complete physical and electronic records of their work and should be prepared to assist with