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-based models that optimise and control pharmaceutical manufacturing processes effectively. Your main responsibility is to develop and enhance discrete element models (DEM), integrating physics-based
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manufacturing processes effectively. Your main responsibility is to develop and enhance discrete element models (DEM), integrating physics-based mechanistic models to simulate complex fluid and particulate
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-based models that optimise and control pharmaceutical manufacturing processes effectively. Your main responsibility is to develop and enhance discrete element models (DEM), integrating physics-based
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be responsible for the efficient running of key administrative elements of this project, with strong supervision and support from an experienced wider research team, including the project manager and
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a core element of the role, so experience of client and/or stakeholder management is highly beneficial. As a collaborative team player, you will be encouraged to bring ideas to the table - innovation
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review and study set-up through to data collection, analysis and dissemination. The role offers substantial hands-on experience of mixed-methods research on sensitive topics, within a supportive and
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closely with the Principal Investigator, the postholder will contribute to all stages of the research process, from literature review and study set-up through to data collection, analysis and dissemination
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process and making informed decisions about choosing Surrey. Key Responsibilities A core element of the role is outbound engagement, with the post holder responsible for leading on the delveopment and
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of products using relevant techniques (e.g., chromatography, spectroscopy, and thermal and mechanical analysis) to quantify yield, composition, and quality. The role encompasses troubleshooting system
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modelling in AI Statistical modelling Numerical analysis and scientific computing. The posts are full-time and are fixed term for a period of up to 24 months. How to apply To apply please upload your CV and a