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Field
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Three PhD positions at TU/e in collaboration with Canon Production Printing, combining polymer science, rheology, and computational modeling to create the inks and coatings of tomorrow. Information
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Structures Work Performed Design, modify, and perform complex structural experiments and/or use technically advanced procedures and conduct complex analysis and interpretation Troubleshoot complex equipment
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advanced urban planning policies. Their strategic locations in Northern Europe make them an ideal case study for modelling urban dynamics using advanced remote sensing, AI and new mathematical approaches
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strong focus on the generation and evaluation of structured synthetic health data. You will also explore the application of large language models (LLMs) to healthcare data and terminology systems. Your key
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econometrics, machine learning, and GIS for predictive housing price modelling Addressing Edinburgh and South East Scotland's Construction Skills shortfall The full description of the projects is available here
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and macroscale structural dynamics. As a PhD candidate, you will focus on the identification and modeling of friction damping and energy dissipation in assembled structures. Your work will combine
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scenarios under aggressive conditions) on the porosity and microstructural evolution in additively manufactured metallic samples, by the development of advanced computational multiphysics models of stress
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, Nguyean et al. 2022). However, accurately predicting PB performance – particularly complex flow patterns within the structure and resulting inundation – requires advanced modelling techniques. This research
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of mission design, manufacturing, operations, and disposal. This PhD project aims to advance sustainable space operations by developing a holistic lifecycle assessment framework and computational tool
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Models for Real-World Healthcare (MLCARE project DC3). The position is funded by the MSCA Doctoral Network MLCARE (Machine Learning Computational Advancements for personalized mEdicine). The MLCARE