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Educational NLP with Multi-Agent and Multimodal LLMs for Inclusive and Collaborative Learning
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apply. Criteria Essential or desirable Stage(s) assessed at PhD (submitted/awarded) or equivalent research experience in mechanical/chemical engineering Essential Application/interview Knowledge of Li-ion
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. Criteria Essential or desirable Stage(s) assessed at A PhD in a relevant subject area or equivalent experience (e.g., operations management, operations research/management science, supply chain management
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How do plants reduce leaf growth at low humidity School of Biosciences PhD Research Project Self Funded Dr Jim Rowe Application Deadline: Applications accepted all year round Details Short spells
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significant advancements with the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques. This PhD research aims to explore the development and application of Process Induced Neural
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subsystems • High performance tunable and reconfigurable oscillators and frequency synthesisers • Application of AI / Machine Learning to physical layer circuitry, signals and waveforms Researchers can expect
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). Modelling tools used will vary according to application but are likely to including process simulation using Population Balance Modelling, DEM simulations and Machine Learning Approaches. Main duties and
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that you reference the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at A first class or upper second class MEng/MSc or PhD in Mechanical
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reporting Work with and support other members of the team, including in the supervision and support of PhD students and MSc students working in the lab Engage in the Readable Research Lay Summary Scheme as a
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statement when you apply. Essential criteria Have a good honours degree (or equivalent experience) and hold a PhD or be close to completion (or have equivalent experience) of a PhD, in materials science