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We are seeking a motivated and Talented experimentalist for a full-time Postdoctoral Research Assistant in Modelling of Quantum Computing Control Systems within Professor Ares’ and Professor
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
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TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring technologies that enable robotic
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as a primary discovery tool and translating key findings to more complex vertebrate neural circuits, we aim to uncover the unknown functions of kinetochores in these major neuronal processes
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plasma-modulated plasma accelerators (P-MoPAs). The successful candidates will undertake research into the underlying physics and operation of plasma-modulated plasma accelerators (P-MoPAs), advanced
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with spin-orbit-coupled interfaces and superconductors can be used to generate and control unconventional superconducting states. In particular, the project aims to realise and manipulate electron
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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optimisation techniques and AI-based models to support decision-making in microgrid design and operation. Working in collaboration with a leading global mission critical firm of engineers, this project offers
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of controllable long-range dipole-dipole interactions, long trap lifetimes and strong coupling to electric and microwave fields. The project will explore the novel approach of using Feshbach resonances between Yb
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clinical challenges within hospital settings. A deep understanding and hands-on experience in user-centred design, electronic circuitry, programming, and system controls within medical contexts are highly