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of the phenomena observed within the developed devices. Prior experience of STEM characterisation of air and electron beam sensitive 2D materials is essential, including imaging, diffraction and spectroscopy, with
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for Robotics and AI, and the UKRI. CRADLE involves providing project-wide flexible, generic, verifiable architectures supporting practical development and deployment of trustworthy autonomous robotics. We
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The overall aim of this project is to develop a real-time monocular vision system for measuring bio test-tube heights in a rack and alignments in the space-defined labware carriage. The vision
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will 1) develop a hydrofibre based dressing loaded with AMP and perform confirmatory spectrum-of-efficacy studies using established wound models; and 2) compile a robust regulatory package including in
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Background: The University of Manchester’s Access and Participation Plan (APP) data demonstrates disparity in completion rates for disabled students and in degree attainment for minoritised ethnic
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will play a major role in supporting the administration within the portfolio, working closely with Prof Frangi and the Programme Manager and will involve working proactively with multiple teams in
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join the Department of Computer Science - and be part of the wider pan-university portfolio community developing fully online programmes to share experiences and inform future strategy. In 2018
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The group led by Prof. Angeliki Malliri (https://research.manchester.ac.uk/en/persons/angeliki.malliri ) is delighted to offer an exciting opportunity to join her internationally regarded team. We
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are experts in cutting-edge image-based multiphysics modelling of cardiovascular fluid dynamics and device-tissue interactions. You will work with clinical and experimental data to develop innovative geometric
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chemistry. This post is part of the multidisciplinary project “High-Performance Lanthanide Single-Molecule Magnets with Monodentate Ligands,” supervised by Prof. David Mills and Dr Michael Baker