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engineering, or gastrointestinal health are encouraged to apply. Prior experience in any of these areas is beneficial but not essential, as enthusiasm and a willingness to learn together are key. Funding
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understanding of the interactions between sweetness and flavour intensity in frozen desserts. The successful candidate will gain a multidisciplinary experience, learning aspects of sensory evaluation
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optimisation. State-of-the-art digital models and AI tools that incorporate machine learning could enable predictions of the dry fibre forming that are subsequently used as input into the RTM process model
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