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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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This is an exceptional opportunity to join the University of Manchester at a time of exciting opportunity and growth in online portfolio development. The University is developing a new strategic
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-computed tomography (microCT) analysis methods that reveal the 3D structure and evolution of microstructure of concrete non-destructively will be developed within the National X-ray Computed Tomography
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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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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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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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to 0.4 FTE Duration of the Post This is a substantive post. There will be a probationary period of 3-4 years The successful candidate will be expected to undergo annual Performance and Development Reviews
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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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related subject area, will show evidence of a clear interest in and experience of teaching, and skills in and commitment to the developing the quality of the student experience. You will join a vibrant and