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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling
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NASA, Airbus, and Rolls-Royce – to develop cutting-edge, data-enhanced numerical methods that will transform how future aircraft are conceived and certified. You will work within the PinhoLab (led by
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Fully-funded 4-year PhD Studentship (UK Home fee status): Numerical simulation of boiling flows for high heat flux fusion components Aim and Objectives This project aims to develop a high-fidelity
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dynamics and, if appropriate, field work (Nicholas, Aalto); numerical modelling (Nicholas, Hawker); machine learning (Hawker, Aalto); and analysis of remote sensing (Aalto) and population datasets (Hawker
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. Desirable Skills (an advantage, not a requirement) Data analysis skills in python. An interest in energy policy / the economics of energy. Numerical modelling. Eligibility This studentship is available for UK
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have gained knowledge and experience in numerical analysis, with a particular focus on linear algebra, and in high performance computing. There will be opportunities to present research at national and
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therapeutic interventions. DA is a key neuromodulator, a chemical messenger that regulates and fine-tunes the activity of neurons, playing a vital role in numerous physiological processes such as reward
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genomes contain numerous biosynthetic gene clusters (BGCs) capable of producing novel SMs. However, many of these clusters remain silent under standard laboratory conditions. Techniques such as heterologous
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. Applicants will be expected to undertake significant experimental work, as well as analytical and/or numerical analyses, and may be required to spend a period of time working with manufacturers overseas
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open to Home Students. Background: Detecting deception is an important but challenging task for numerous organizations worldwide including in the UK (e.g., Probation Service, Police). Whilst there are