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Element Method (DEM), to analyse and predict pharmaceutical tablet disintegration. The goal is to construct robust, physics-based simulations that deepen the understanding of the underlying processes and
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partners. The post holder will be responsible for developing and implementing mechanistic models, primarily using the Discrete Element Method (DEM), to analyse and predict pharmaceutical tablet
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consortium of academic and industry partners. The post holder will be responsible for developing and implementing mechanistic models, primarily using the Discrete Element Method (DEM), to analyse and predict
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. Candidates with either Bayesian or traditional statistical backgrounds are encouraged to apply. Candidates should be able to programme in a high-level language for data analysis such as R, STAN or MatLab
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to the success of the project. Furthermore, the role will give you the opportunity to use your experience in formulating problems using the finite element method in solid and fluid mechanics, to validate
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authoritative practical knowledge and experience in acoustics and/or vibration, supported by detailed understanding. Basic understanding and knowledge of numerical modelling using the Finite Element Method
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knowledge of numerical modelling using the Finite Element Method/Boundary Element Method. Excellent communication and teamwork skills. Informal enquiries can be made to Dr Felix Langfeldt: F.Langfeldt
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image analysis and reconstruction research on magnetic resonance imaging of the lungs and heart in children (including neonates), and will be based in the POLARIS group, which is internationally
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enhance recombinant protein expression. The postholder will lead on the development of an automated, high-throughput platform to rapidly screen vector constructs, assessing how component combinations
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of designing and conducting systems-level testing of control systems, including specification of appropriate control hardware and software, and analysis of resulting system performance data. Essential