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control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
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A continual learning approach for robust robotic control in electric batteries assembly. This project is an exciting opportunity to undertake industrially linked research in partnership with
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applications of AI have typically been demonstrated under highly controlled conditions. Battery assembly processes can be inherently dangerous demanding very precise assembly tasks, and so flexible automation
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dynamically managing power flow, improving system flexibility, and mitigating transmission constraints. However, conventional methods for PST deployment often consider sizing, placement, and control in
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which have shown potential for control of silica deposition, though the mechanism of inhibition remains unclear. The project will explore new methodologies for the evaluation of such inhibitory molecules
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This project is funded by the ARC Centre of Excellence for Automated Decision-Making and Society. This project is funded by the ARC Centre of Excellence for Automated Decision-Making and Society
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This PhD position offers a unique opportunity to advance safe and transparent control for autonomous, over-actuated electric vehicles. You will work at the intersection of model predictive control
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only if sociotechnical systems are appropriately designed. “Command and Control” (C2) is the process taken by organisations and teams to achieve shared goals, and the C2 system is the underpinning
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the best version of ourselves, creating value both within and for society. Project context The scholarship is a collaborative effort in industrial automation, with a focus on assembly and disassembly. It is
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Join our exciting PhD programme in Security Automation and be at the forefront of changing the way we protect ourselves from cyber threats. In today's ever-evolving digital world, we urgently need