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analysis will focus on building sophisticated Deep Learning models, e.g., Long Short-Term Memory (LSTM) networks, to accurately model DPs over time and predict mood deterioration. The project will implement
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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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is unique to the MIBTP programme; please do not use any other link to apply to this project or your application may be rejected. References: 1. Osman J, Higgins JD, Sanchez-Moran E, Armstrong SJ
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South and East Network for Social Sciences (SENSS) and CAM-DTP are pleased to announce a call for two ESRC-funded studentships. The purpose of this joint scheme is to promote collaboration between
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for an enthusiastic graduate to build a strong skillset in interdisciplinary research and a collaborative network with both academic and industrial partners at an international level. Important funding note: This
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Anglia) and to present their results to wide-ranging audiences in conferences and meetings. The multidisciplinary nature of this project will contribute to build a broad network and will provide
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. The research will probe beneath surfaces to detect impurities and internal features, while also exploring new methods for embedding invisible authenticity markers. Finally, advanced data tools and neural network
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Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives for aviation use
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This self-funded PhD opportunity explores assured multi-sensor localisation in 6G terrestrial and non-terrestrial networks (TN–NTN), combining GNSS positioning, inertial systems, and vision-based
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networks continuously generate sensitive data. You will investigate adaptive learning frameworks – such as multi-agent or multi-task approaches – that ensure robustness, explainability, and trust across