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for damage characterization. This project offers an exceptional opportunity to push the boundaries of aerospace innovation and potentially shape the future of sustainable aviation. If you wish to discuss any
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team, the PhD student will support the development of discrete choice experiments in two countries, and agent-based modelling, as we plan to model how doctors make job choices among alternative hospitals
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-eclampsia, caused by the failure of spiral arteries to adapt during pregnancy results in reduced blood flow to the placenta and a disturbed pattern of flow. Placental cells in contact with maternal blood
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work together with the PhD candidate. Applicants are encouraged to familiarize themselves with our existing publications . In this work, there is also an expectation to be innovation-oriented, to help us
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industrial settings. From a practical standpoint, new predictive modelling approaches are needed to inform and accelerate industrial process design, as this is an area where much process development occurs
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, a global leader in energy technology innovation. The project focuses on advanced geothermal systems (AGS), an emerging approach to the extraction of geothermal energy as a renewable energy source that
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tackling the above challenges with novel system designs and tailored AI/ML based methods. Candidate’s profile A First Class Bachelors degree and/or Masters degree in a relevant subject (computer
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The project: Motivation The development of hydrogen energy technologies is central to the UK government's ten-point plan for a green industrial revolution, targeting a 40% reduction in gas
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incentivisation of participants in FL ecosystems. This PhD project aims to address one or more of several critical research challenges at the intersection of blockchain and FL. One major challenge is designing fair
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available to students undertaking study in: Accounting and Finance Business and Management Science, Technology and Innovation Policy Academic requirements Candidates must meet the academic requirements