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of developing a computational model to simulate hydro-sedimentary dynamics and morphology between restored patches to explore conditions favourable for restoration. Validated with data on vegetation cover and
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). Experience in numerical modeling and data analysis. An interest in groundwater contamination, risk assessment, and sustainability. Programming experience (Python, MATLAB, or similar) is desirable but not
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for capturing material property and gas transport data, gather data on these materials and subsequently build up an understanding of the relationships between the material properties and the solubility
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, efficiency, and the optimisation of material, energy, and waste flows. The main tasks include: 1. Developing Digital Twins: Using data from other work packages, we will create digital twins (DTs) for waste
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in spin-dependent processes in materials and devices for energy technology. More information can be found on the group website: taitgroup.web.ox.ac.uk . Please contact Dr Claudia Tait (claudia.tait
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conference presentations. Funding This is industry funded project, funded by two big aerospace primes. Funding will cover tuition fees, plus a stipend based upon the current Research Council rate of £20,780
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creatively. Good computer skills, plus good presentation and writing skills in English, are required. Previous research experience in contributing to a collaborative interdisciplinary research environment is
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submit: A cover letter explaining in no more than one page your suitability for the studentship All your degree certificates and transcripts Proof of a recognised English language qualification References
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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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, please submit your CV and a cover letter outlining your research interests and relevant experience to Connor.Taylor@nottingham.ac.uk . Please also contact this email for further information and an informal