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skills and attributes for success: Strong motivation to contribute to a novel area of cell biology and neurobiology. Strong organizational, communication and critical thinking skills. Command of standard
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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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plasma channels, and methods for controlling injection of electrons into laser-driven plasma wakefields. This work will be undertaken within the research groups led by Prof. Simon Hooker (Oxford), in
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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
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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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cavity structure enable a mechanism for the controlled Bose-Einstein condensation at room temperature, with applications in all-optical computing Nature Photonics 13 378 (2019) and quantum sensing Nature
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working with neuroimaging Experience deploying deep learning models into clinical settings Experience working within a development team and associated tools (git, svn or equivalent version control
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learning models into clinical settings Experience working within a development team and associated tools (git, svn or equivalent version control) Experience working with multidisciplinary teams including
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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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languages of textual sources in History of Islamic Art (Arabic, Persian, Ottoman-Turkish) teaching experience excellent command of written and spoken English What we offer: Inspiring working atmosphere: You