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This 3.5 year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will receive an annual tax free stipend set at
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)’option as your programme of study In the ‘Finance’section, select funding source ‘Sponsor’ and insert ‘PHD-BRETT-ULMS-2025’ in the box below Also include ‘PHD-BRETT-ULMS-2025’ as the first line of your
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In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and
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In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and
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neuromorphic computing and machine learning. Test the platform in scenarios requiring human-AI cooperation, such as dynamic human-robot interactions, and evaluate the system's energy consumption, adaptability
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we leverage these interactions to increase the security and resilience of SatComs and future generation networks. Further details on this PhD project can be found at the following link: https
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be possible, please contact Professor Kamalan Jeevaratnam once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . This is an interdisciplinary project in
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decisions related to turbine inspection and maintenance with a human expert [4, 5]. This can be based on a deep reinforcement learning framework, which interactively optimises key performance indicators in
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the air-we-breathe, water-we-drink, and food-we-eat. Notably, humans are thought to ingest upto 5 grams per week. Interaction of ingested MNPs with the gut microbiome promotes development of microbial
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assistant system using multimodal AI methods to process vision, language, and audio signals with an application to human- robot interactions to understand and respond to human actions. The successful