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skilled and motivated applicants for a PhD scholarship (DC12) focused on the development and validation of a modelling framework to support professionals to choose and advise foods, meals and diets with
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to elucidate these phenomena. This PhD project aims to develop a computational growth and remodeling (G&R) framework to investigate how cartilage microtissue growth dynamics, matrix composition, and (anisotropic
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tasks are to probe the molten salt NaAlCl4 electrolyte chemistry by among others _in situ _Raman probe spectroscopy to investigate spatially resolved compositional changes during charging/discharging
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how Europe measures economic well-being at the local level. In this project, you will develop innovative small area estimation methods to produce high-quality composite SDG indicators, combining survey
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technological developments in your professional field and, together with colleagues and partners, translate these into solutions that meet market needs. Your team You will be part of the Food, Gut & Health Models
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, you will develop innovative small area estimation methods to produce high-quality composite SDG indicators, combining survey, census, and non-traditional data sources such as web and satellite data
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(AM) technologies. Instead of following the traditional linear model of “produce–use–discard”, ADD-reAM focuses on extending product lifetimes, reducing waste, and lowering dependency on virgin raw
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manufacturing economy by enabling repair and remanufacturing through advanced Additive Manufacturing (AM) technologies. Instead of following the traditional linear model of “produce–use–discard”, ADD-reAM focuses
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. Instead of following the traditional linear model of “produce–use–discard”, ADD-reAM focuses on extending product lifetimes, reducing waste, and lowering dependency on virgin raw materials by embedding AM
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lead to shifts in microbial species composition and ultimately reducing soil’s water-holding capacity. The spatial distributions of such soil communities, the changes in (functional) diversity