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Funding information: The studentship is for 3.5 years and provides a tax-free stipend of £20,780 per annum for the duration of the studentship plus university tuition fees. Due to funding restrictions
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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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fantastic opportunity for ambitious computer scientists to join our Computer Science Graduate Teaching Assistant (GTA) Programme! How does it work? Candidates will study for a four year, full time funded PhD
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third over the past 25 years, which is inferred from sparse soil data and the widespread decline of their avian predators. Recent developments in soil geophones and contact microphones have enabled
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Current modelling and simulations require either generic assumptions to be made for fluid dynamic based modelling leading to inaccuracies between modelled and experimental data or, intense
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Experience working with peer-researchers/co-facilitators Desirable criteria Understanding of data confidentiality and data security Experience working across policy, public health, voluntary sectors, or with
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, finance, and healthcare, where data integrity and system reliability are non-negotiable. This PhD project addresses the integration of robust security measures within AI-enabled electronic systems
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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within a state-of-the-art cleanroom, experimental optical systems and data analysis. This research is ideally suited to candidates with interests in photonics, metamaterials, ultrafast optics
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will be filled once a suitable candidate is identified. Further information Informal enquiries are welcomed and should be directed to Dr Sebastian Neira Castillo – s.neira@ed.ac.uk . Formal applications