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23 Jun 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Biological sciences » Biology Computer science » Informatics Computer science » Modelling
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/en/jobs/362075/phd-position-cfd-fem-modelling-… Requirements Additional Information Website for additional job details https://www.academictransfer.com/362075/ Work Location(s) Number of offers
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
models such as the INFOGEST model and/or the TIM-1 dynamic model, to determine the effect of the food matrix on nutrient bioaccessibility and protein-polyphenol interactions; perform in vitro research
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engineering tools. Your work will span circular materials research (plastics and metals), the creation of high-quality material models, the development of Digital Twins, and the use of AI-based methods
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, the biological mechanisms through which they damage the lungs remain largely unknown. In this PhD position you will work within the in vitro work package, where you will expose advanced human lung cell models
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comprehensive “Health Passport” framework that integrates monitoring data and physics-based modelling for the health assessment of railway tracks on bridges, using Dutch railway infrastructure as a primary case
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flow analysis (dMFA) models to quantify steel stocks, flows, scrap generation, and scrap quality across the EU27, including the tracking of key impurities and tramp elements throughout the steel life
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and APS illustrates the multidisciplinary nature of the PhD-position. Where to apply Website https://www.academictransfer.com/en/jobs/363545/phd-impact-of-reward-schemes-fo… Requirements Specific
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clinical, sequencing data, and circulating biomarkers, the project aims to: Develop and validate advanced machine learning models for the stratification and diagnosis of ANOCA; Provide cell-type–resolved and
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agricultural sector in which agriculture goes hand in hand with soil health and nature restoration, and a good revenue model for farmers. Between now and 2030, ReGeNL will start the transition to regenerative