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. This role is focused on research to enable ultra-high power GaN RF devices, including developing new laser-based optical systems to study temperature as well as electric fields that limits device performance
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This is an exciting opportunity to join a research group working at the frontiers of eye and vision science. This full-time PDRA will be involved in 2 projects. (1) Identifying retinal cell-to-cell
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learning to create AI-based software solutions supporting the home-based Optical Coherence Tomography (OCT) device. The development of the home scanner is in collaboration with our industrial partner
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field and ideally have a strong background in experimental quantum optics or atomic physics. Previous experience in the field ultracold atoms will be highly desirable. Candidates will be expected
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expected to be familiar with laser frequency stabilisation, and have experience in atomic physics, quantum optics or laser cooling and trapping. The post holder is expected to be able to work effectively
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. Methods will include cell culture, stem cell-derived beta cell generation, hormone assays, sequencing, cloning and optical imaging. The position would suit a cell biologist with experience of imaging
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the river network. They will be expected to use machine learning classification of fluvial systems to generate a time-series of sediment erosion and deposition from optical satellite imagery. These data will
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image analysis, specifically utilising deep learning to create AI-based software solutions supporting the home-based Optical Coherence Tomography (OCT) device. The development of the home scanner is in
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optical lattices - Dissipative many-body dynamics, including measurement and feedback, and non-markovian dynamics with applications to quantum transport. The successful candidate will conduct
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narrowband and tunable scientific lasers, and have experience in atomic physics, quantum optics or laser cooling and trapping. The post holder is expected to be able to work effectively both independently and