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The design and testing of sounding rockets for hypersonic research School of Electrical and Electronic Engineering PhD Research Project Directly Funded UK Students Dr Alistair John Application
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-assisted vector databases, data-mining techniques - to reassess currently available information sources including letters, diaries, manuscripts, annotated maps and objects to identify these women
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measure their properties? This project will focus on that key question, with students learning how to mine the vast new data resource that is the LSST. For more information on this project please contact
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achieve this, we will create an openaccess dataset from the literature and our in-house data. We will employ the recent largelanguage models (LLMs) for mining the literature and other advanced data science
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postgraduate research funding webpages for further information: https://www.sheffield.ac.uk/postgraduate/phd/scholarships Loans are available to eligible home fee-paying doctoral students studying postgraduate
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. We take a macroecological approach to addressing this challenge, mining large databases of marine biodiversity data to understand the ecological, evolutionary, and environmental factors that drive
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Programme including a non-clinical PhD supervised by Professor Balasubramanian, Dr Jenny Lord and Dr Michael Spiller on mining genomics data for identifying new diagnoses in rare disease patients within South