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statistics, health economics, or in a scientific discipline relevant to healthcare (assessed at: application) Have demonstrated experience in relevant research methods, for example through publications in peer
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techniques, statistical methods or data analysis in particle physics (assessed at interview) Experience in the Python and/pr C++ programming languages Effective communication skills, both written and verbal
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stage on the week commencing 27th June. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact clinmed-staffing
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overcome some of the most insignificant damage, such as a cut in their functional component. The aim of this project is to develop a fundamental physical homeostatic framework in order to endow machines with
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. The project will explore the use of combining healthcare ontologies, data structures and graphical modelling methods to create knowledge models. These will be applied to build a knowledge model for a
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a collaboration between the Universities of Sheffield, Cambridge, and University College London and is home to 11 state-of-the-art epitaxial reactors, including Metal-Organic Vapour-Phase Epitaxy