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Field
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of the PhD will be open for the student to refine. We anticipate a mix of field data collection, laboratory and Sphagnum growth experiments, alongside a strong modelling component. The work will focus
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relevant equipment and travel. Application Information Applicants should apply via the University’s admissions portal (EUCLID) and apply for the following programme: https://postgraduate.degrees.ed.ac.uk
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an Ahmed body will be used as the baseline. Numerical studies will be performed using commercial CFD software. A correlation between experimental and numerical data will be determined. This project
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quantification and data science. Potential investigation areas: • Enhancing Monte Carlo and Markov Chain Monte Carlo (MCMC) with reinforcement learning. • Developing adaptive tuning and continual learning
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and data analysis. You will be working at the interface of chemistry and chemical engineering to improve the enrichment process. This will involve investigating different extractants, solvents, and
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: Applicants must meet the minimum English language requirements. Further details are available on the International website . Funding information: The studentship is for 4 years full-time and provides a tax
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reliability and maintenance strategies. Filter Rig: An experimental setup to study filter clogging phenomena, allowing for the collection of data to develop and validate prognostic models for filter
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mitigating jamming and spoofing threats in real-time. Integration of Trusted Execution Environments (TEEs): Investigate the use of TEEs to create secure zones within embedded systems, facilitating secure data
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motivated and skilled candidate with a background in physics, biophysics, biological physics, or bioengineering. This PhD project will primarily focus on experimental research, which will include data
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expected to attend Bournemouth University in person on at least three days of the week, for all working weeks. Deadline for applications: 12 noon (BST) on Saturday 5 July 2025 For further information on how