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results with AI models and system simulations to create a digital twin of the PtX process for predictive optimization and scenario analysis. Funding This PhD position is generously funded through the Villum
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of Biostatistics, Institute of Basic Medical Sciences (IMB), University of Oslo (UiO), Norway. The candidate shall take part in the research group on “Statistical models for high-dimensional and functional data
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molecular structure, to maintain a specific lipid and protein composition in cilia. Cilia are evolutionary conserved organelles that protrude from the surface of eukaryotic cells to facilitate motility and
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areas of the group is investigation of the fate of vitamins and other nutrient due to processing of foods, particularly in the context of ultra-processed and plant-based foods. The group also contributes
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Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical
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during processing with focus on plant-based foods and ultraprocessed foods. You will contribute to activities related to updating of the Danish Food Composition Database You will contribute to further
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migration backgrounds and between schools. You will answer questions such as: Do gender gaps in attitudes, behaviour and achievement vary according to student background and school composition and quality
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application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position We are looking for a Ph.D. candidate to work
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the formation rates or composition of a biominerals from known environmental conditions. This project aims to construct such a model. The ultimate goal is to create a general framework for predicting
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into how the structure of fat droplets during digestion is impacted by composition and formulation processing. Working under the broader project of ‘Precision Nutrition’ the research will investigate how