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to the PhD project ie. processing and analysis of dietary intake data, statistical analyses (eg. linear mixed models) as well as evaluation of child growth and body composition data. Relevant publications
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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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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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of bio-oil compositions Developing semi-automated and validated data processing tools and workflows for one- (1D) and two- (2D) dimensional chromatography data Correlating bulk analysis with the more
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numerical modelling studies within: Microbial growth in hydrogen storage salt caverns and the interplay with transport processes (diffusion and convection) The bio-geo-chemistry of leakage from CO2 storage
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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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The aim of the project is to generate De novo enzymes to degrade PET from composite fibers from recycled textiles. The first-generation designs will be further optimized after experimental
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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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are shaped by) the energy transition. This project explores how new business models and institutional frameworks emerge in response to climate change and environmental pressures, focusing on strategic
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their universities. To be considered the applicant must have a basic education at master's level (corresponding to the 3 + 2 Bologna process) have received the grade of 10 (or equivalent) for the master's thesis