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, imaging and timing applications. In this project, we will: Develop Bayesian deep learning methods for event-based data, including single-photon detections and neuromorphic camera data. Investigate Bayesian
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participating in the training and management of PhD students. Solid-state spin photon interfaces are central to emerging quantum technologies, such as optical quantum networks and quantum sensors. Point defects
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projects with colleagues in partner institutions, and research groups. You must hold a PhD/DPhil (or near completion). You will have extensive experience in live imaging of the spleen using 2-photon
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cavity quantum optomechanics that combines strong light-matter coupling with strong exciton-phonon interactions in a single system. The tri-partite exciton-phonon-photon interactions within a single high-Q
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topics would be advantageous: open system quantum optics, many-body physics, cold atom physics, computational physics, quantum physics, nano-photonics and metamaterials. The appointment will be for two
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paradigms, neural circuit mapping, advanced genetics and two-photon calcium imaging to uncover how the brain selects between conflicting drives, and how these choices vary by context, internal state, and sex
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tomography and single-photon emission computed tomography. We are a highly interdisciplinary and international team closely working together with colleagues from different medical universities, biomedical
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Spectroscopy and Multi-photon Spectroscopy. Experience in automation software, for example Labview and Matlab. Skills Demonstrable ability to plan and manage independent research.
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about our group and our research can be found at https://lupo-lab.com/ LUPO is part of the Institute of Photonics and Quantum Science (IPaQS), which is one of the UK's largest research clusters in
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participating in the training and management of PhD students. Solid-state spin- photon interfaces are central to emerging quantum technologies, such as optical quantum networks and quantum sensors. For example