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Educational NLP with Multi-Agent and Multimodal LLMs for Inclusive and Collaborative Learning School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Zheng Yuan
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. The successful candidate will be a proactive, motivated individual, who can work effectively and efficiently to meet strict deadlines within a busy, varied workload, whilst also maintaining a high degree of
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communication skills, be highly independent and committed to research in a fast-moving and competitive field. Main duties and responsibilities Carry out experiments to generate high quality data to identify
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computational modelling to explore structure/activity relationships. The project offers a unique combination of experimental and theoretical catalysis, providing a strong foundation for careers in both academia
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this using in vivo two-photon calcium imaging, confocal microscopy, stochastic genetic labelling of single neurons, and detailed analysis of neuronal morphology. You will design, develop and perform
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post and in-person. As necessary, service meetings within the department. Monitor and replenish levels of stock following set ordering procedures. Accept and manage parcel deliveries, perform postal
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Masters and PhD students, offering day-to-day mentorship and support as needed. ● Generate high-profile research outputs to contribute to the research excellence of the School. ● Present
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sustainable feedstock. This will allow recycled and bio-based materials to become a competitive replacement for less sustainable high performance alternatives. Facilitating this replacement would reduce
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Deadline: Applications accepted all year round Details Thin films with a high technical specification are used in many everyday devices, including displays, solar cells, electronic devices, batteries, and
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offers an outstanding opportunity to generate high quality research and innovation, assessing urban biodiversity and the impacts of nature-based climate solutions. Under the supervision of Tom Wild, and