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' button above. Further information on how to apply for a CENTA studentship can be found on the CENTA website: https://centa.ac.uk/apply/ Funding notes: This project is offered through the CENTA3 DLA, funded
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' button above. Further information on how to apply for a CENTA studentship can be found on the CENTA website: https://centa.ac.uk/apply/ Please be aware that the successful applicant would be registered
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click on the 'Apply' button above. Further information on how to apply for a CENTA studentship can be found on the CENTA website: https://centa.ac.uk/apply/ Funding notes: This project is offered through
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through the EU Research Framework Programme? Not funded by a EU programme Reference Number RS904 Is the Job related to staff position within a Research Infrastructure? No Offer Description ALL-WALES
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
programme you are applying for. To Apply for this project please click on the following link -https://www.exeter.ac.uk/study/funding/award/?id=5733
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Applications are invited for a funded PhD studentship, supervised by Prof Andrew Dove (School of Chemistry) at the University of Birmingham (group website: http://www.dovegrouplab.com ). The project
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for a CENTA studentship can be found on the CENTA website: https://centa.ac.uk/apply/ Funding notes: This project is offered through the CENTA3 DLA, funded by the Natural Environment Research Council
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. Mengyan Zhang (https://mengyanz.github.io/ ), whose research focuses on sequential decision making and public health. Dr. Zhang has published in leading venues including Nature, PNAS, ICML, AAAI, etc. She
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Inc., France (https://www.inocess.com/?page_id=1370&lang=en ). The industrial partner will provide co-supervision, access to relevant data, offer opportunities for field testing of the proposed
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the entry requirements for the potential programme you are applying for. To Apply for this project please click on the following link -https://www.exeter.ac.uk/study/funding/award/?id=5734 Funding details