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requirements: First-class or upper second-class degree (or equivalent) in Chemical/Process/Electrochemical/Mechanical/Electrical Engineering, Chemistry, or Physics, or relevant industrial experience
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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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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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.html and here https://www.eng.cam.ac.uk/news/engineering-better-car-experience . Four years of full funding is provided by the UK's Engineering and Physical Sciences Research Council (EPSRC) and JLR
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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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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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. 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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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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statistical models (for example principal component analysis) to obtain insights into relationships between physical properties of polysaccharides (composition, molecular weight charge, chain length etcetera