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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
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out research related to the directed evolution of enzymes, the biochemical and biophysical characterization of candidate enzymes, and the chemical analysis of enzymatic reactions. Thus, the candidate
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The Coyte Lab group within the Division of Evolution, Infection and Genomics wishes to appoint a Research Associate to an exciting project exploring the dynamics and function of carbon-fixing