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integrity and durability of affected components and structures. The main challenge is assessing the transition between a relatively slow process of degradation and a rapid deterioration of structural
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release on these projects can be found at the following link . This position’s focus is on developing engineered systems and methods to quantify the physical interactions between migrating cancer cells and
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manually and on a case by case basis – a process that is long, tedious, and prone to errors. We can streamline this process, to make it more accessible to users without deep floating-point knowledge. One can
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. Funding information: This is an EngD studentship fully funded by the National Physical Laboratory (NPL). The studentship is for 4-years and provides a tax-free stipend of £22,780 per annum including a £2k
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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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process It is anticipated that the selection process will take place on 8th July. This will consist of an interview, test and tour. We plan to let candidates know if they have progressed to the selection
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categorise the interconnected strands (eg, devising strategies, training approaches and physical languages) of the company’s performance repertoire, facilitating the creation of a ‘live archive’. Funding Home
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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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second class UK honours degree or equivalent in Engineering, Chemistry, Applied Physics, or a related discipline; a Master’s degree in these subjects would be of advantage. Funding This is a Fully-funded
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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