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and teaching. We are seeking to recruit a statistical researcher to provide statistical and epidemiological leadership for the team studying the Benefits and Risks of Cancer Treatments. The post-holder
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funded by BBSRC and is fixed-term for 24 months. This project is to develop simple cell (SimCell, non-dividing bacteria cell) based biocatalyst to transform waste from cultured meat process into essential
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). The post is funded by BBSRC and is fixed-term for two years. This project is to develop simple cell (SimCell, non-dividing bacteria cell) based biocatalyst to transform waste from cultured meat process into
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of the project which relate to establishing relationships between fluvial water/ sediment dynamics and the regional physical drivers of change. Write open-source scripts in Python or R to retrieve, manage, prepare
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term basis for 36 months due to funding restrictions. As part of your role, you will: Develop novel Bayesian machine learning approaches for psychoacoustic modelling. Publish your findings at top-tier
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Develop and participate in activities for engagement with the public, policymakers and key stakeholders. You will benefit from: Extensive opportunities for collaboration with our project partners. Access
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systems. You should be a confident programmer in a systems language (such as C/C++, Rust, Java, or Go), with the ability to develop, and maintain integrate maintain complex systems. You will be
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excellence in public and global health research, education and translation of knowledge into policy and practice. We are recruiting a Research Fellow/Assistant Professor to an exciting new role to work on the
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and experience. Closing Date: Friday 26 April 2024 Reference: FAB054324 INTERNAL: This vacancy is open to Research and Teaching Level 6 and 7 employees of the University of Nottingham only
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project which aims to develop and establish the next generation of prediction methodologies and software tools to perform risk assessment for safety critical systems. The industrial relevance