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Santos, Dr RG Bryant, Dr Chris Bousfield Application Deadline: 31 October 2025 Details We are seeking a motivated PhD candidate to develop innovative artificial intelligence methods for plant species
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of these assessments can be influenced by factors such as the call handler’s expertise, call volumes, and stress levels, potentially delaying life-saving interventions. Emerging advancements in artificial intelligence
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, but current methods are not always efficient or optimal. The process lacks an intelligent, informed approach to selecting the best grinding parameters, which can lead to inefficient maintenance actions
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Behaviours in Simulation: Develop methods to automatically generate diverse test scenarios in a virtual environment to efficiently find faults in robotic skills. This involves using intelligent techniques like
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public. Essential Application/Interview Experience of university and/ or ethics documentation preparation and submission. Essential Application/Interview Good IT skills (e.g. use of Excel, Word, Reference