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are essential. An additional background in analytical chemistry or physics, as well as experience with practical lab work (e.g. from a previous Masters degree) are advantageous. Interested students are strongly
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to work in an interdisciplinary team are essential. An additional background in physics or experience with practical lab work are advantageous. Interested students are strongly encouraged to contact
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with participants to deliver measures concerning people’s experiences of the diagnostic process, their access to services and their general well-being and life quality. The positions are ideal for people
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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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global warming, but it remains unclear whether it would be effective in practice. CCM relies on the idea that emitting small amounts of aerosols at high altitude could modify the optical or physical
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to symmetry breaks in the patterning process. A hybrid modelling approach integrating the dynamics of a core network while utilising a virtual template from experiments for cellular growth and division will be
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temperature within the engine environment. The aim of the proposed research is to develop modern primary atomisation models which better capture the atomisation physics associated with modern aerospace airblast
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to produce cutting-edge research. Prospective applicants must: Hold a good honours degree in an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine
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/physics/biology) or engineering. The ideal candidate should have some understanding in the areas of Materials Science, Chemistry, Physics, Metallurgy, or Mechanical Engineering. The candidate should be self
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subject relevant to the proposed PhD project (inc. Mechanical Engineering, Aerospace Engineering, Chemical Engineering, Applied Mathematics and Physics). Ability to undertake scientific programming (e.g. in