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and experimental approaches, we will characterize the rheological properties of specific material component combinations and simulate and predict its performance in prototype flows. You will be part of
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develop a process model to predict yoghurt texture (loss) and perform Digital Industrial trials to accelerate product development. This position contains a combination of fermentation experiments for model
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staff position within a Research Infrastructure? No Offer Description We have a vacancy for a 4-year PhD student in Applied Mathematics within the project “HiWAVE - Natural hazard prediction with adaptive
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groups. Interdisciplinary focus: This project links Disciplines: comparative biology, optics and biophysics. Theory: optical theory provides us with specific predictions as to what eye designs would work
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systems can have a significant impact and users therefore need to be able to contest and understand how the decisions are made. Uncertainty underlying predictions and advice is hard to explain, but
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applications, including biomaterials, cosmetics, and pharmaceuticals. Their function in these environments is largely determined by supramolecular interactions, which are complex and challenging to predict
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useful life for predictive maintenance of an operating AEM cell developed by collaboration partner HyET E-Trol. A core feature of your work should be the inclusion of a neural network (NN) surrogate of a
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for durable agriculture. Job description This vacancy is a part of the CropXR Potato program. Computational breeding aims at the construction of prediction models for yield and quality traits that combine
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membrane materials to realize selective and unidirectional ion transport. We will combine theory and prediction, chemical design, and on-water/liquid surface synthesis, as well as in-situ ion transport
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for predictive maintenance of an operating AEM cell developed by collaboration partner HyET E-Trol. A core feature of your work should be the inclusion of a neural network (NN) surrogate of a detailed physics