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. This 6-year Discovery Award will critically explore how contemporary seek to control and regulate unproven, disproven, or misleading health-related claims. Bringing together perspectives from socio-legal
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. Responsible for: Leading the optical and mechanical design of the microscope; integrating adaptive-optics modules, beam-shaping elements and bespoke detectors; developing synchronous control and lifetime
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health-related claims. This 6-year Discovery Award will critically explore how contemporary seek to control and regulate unproven, disproven, or misleading health-related claims. Bringing together
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. This 6-year Discovery Award will critically explore how contemporary seek to control and regulate unproven, disproven, or misleading health-related claims. Bringing together perspectives from socio-legal
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. Responsible for: Leading the optical and mechanical design of the microscope; integrating adaptive-optics modules, beam-shaping elements and bespoke detectors; developing synchronous control and lifetime
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, modelling and simulation, CFD, control and experimental investigation would be particularly useful. Candidates close to completion of their PhD will initially be appointed in the junior research training zone
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rapid growth of artificial intelligence. Key responsibilities include synthesising 2D materials with precise control over layer thickness, composition, and defect density, followed by comprehensive
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. The post-holder will be part of the core research team running a Randomised Controlled Trial of interoceptive training as a novel therapy for reducing anxiety in survivors of primary breast cancer (Work
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: Essential criteria PhD qualified in relevant subject area * Experience in cryo-electron microscopy/structural biology sample preparation and data collection Proficiency in Linux command line usage and cryo-EM
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of the tissue microstructure. In this position, you will work on developing advanced preclinical MRI techniques and you will employ them for 1) in-vivo mouse liver imaging, both for normal controls and in models