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PhD in Computer Science: Sustainable AI for Plant Species Recognition in Tropical Forests School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Jefersson Alex dos
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, Materials 4.0 and Materials informatics and will support other research areas as required. As part of an integrated team, the RBE Lead will coordinate closely with equivalent functions at Royce Partner
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Phase Field Computational Methods for Fracture Problems in Engineering School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application Deadline
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Next Generation Aero-Engine Sealing Technologies
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PhD: Systematic Exploration of Robot Behaviours for Manufacturing Tasks to Automatically Discover Failure Scenarios
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
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PhD in Computer Science: Sustainable AI for Plant Species Recognition in Tropical Forests
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World Models, Predictive Control and Foundation Models for Robotics
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Engineer (CEng) status, ensuring you’re recognised for your professional expertise. Entry Requirements: A first-class or strong 2:1 degree in a relevant science or engineering subject such as Computer Science
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, Aerospace Engineering, Materials Science, Physics, Computer Science or Mathematics. If English isn’t your first language, you’ll need an overall IELTS score of 6.5 with at least 6.0 in each section Interested