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Officers with the planning and delivery of training and the development of support resources, and thus contribute to the delivery of high quality and effective online and blended learning within the Faculty
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adversely affecting their infection prevention credentials. This involves applying advanced materials science and engineering principles to develop and implement innovative recycling and consider
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demonstrable and successful track record of independent and collaborative problem solving and who can foster a culture of team work, whilst being able to support and develop continuous improvement to process and
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and enabling commercial deployment. The work will integrate model based design of experiments, machine learning, hybrid and kinetic modelling (digital twin development), process design, simulation and
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Background A Research Associate position is available for an outstanding and ambitious materials scientist to undertake research in the project: developing accelerating DC DYNAMIC cable technology
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BACKGROUND Applications are invited for a research associate (PDRA) specializing in instrument development to join a joint project between the University of Manchester and Oxford University
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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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cutting-edge machine learning methods for spatial omics and for multi-modal data integration. The post-holder will also collaborate on the development of new computational methods to support the CoRE’s
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development of a computational pipeline that integrates multi-omic data at the cellular level across exposomes and diseases, revealing novel biology and shared mechanisms of immune regulation. You will be
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science skills development, innovation training and outreach The Project There is a major economic opportunity for Greater Manchester (GM) to fill the gap in companies able to provide sustainable materials