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-solution fit project in collaboration with QM Innovation and external consultants; R&D work on technical workflows and automation for remote sensing approaches to facilitate scaling of nature-based solutions
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computational modelling and design optimisation. You will run CFD and fluid-structure-interaction simulations. You will develop models, analyse results and collaborate with partners to inform design. The role
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Biomedical Research Centre under the Precision Musculoskeletal Care Theme, aiming to improve healthcare delivery and patient outcomes for musculoskeletal conditions of particularly high burden in East London
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its disruption in neurodegenerative diseases. The post is full-time, with an initial contract for 18 months. The primary responsibilities of the role are to design and carry out experiments, conduct
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recognised centre of excellence in population health, primary care and preventive medicine. The Institute is organised into six separate research centres which, though complementary and following the Institute
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and stroke in Sierra Leone (SL). We will support the Ministry of Health SL by collecting the data necessary to design evidence-based interventions. The role will be responsible for supporting MRC SLASH
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, to deliver the aims of the programme. The PDRA will join a team working on extracellular vesicles as well as other aspects of inflammation resolution, with close attention to the exploit this science for
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recognised centre of excellence in population health, primary care and preventive medicine. The Institute is organised into six separate research centres which, though complementary and following the Institute
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membranes for highly selective molecular separations in organic liquids, including by nanofiltration and pervaporation. The successful candidate will seek to design and develop membrane modules and membrane
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developing and testing a groundbreaking device for medical imaging and early cancer detection. The research remit will encompass: medical imaging, AI, device design, prototyping, and pre-clinical evaluation