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simulation models do not fully capture the complex, temperature-dependent, anisotropic, and evolving optical and thermal properties of thermoplastic composite materials. In addition, the desired prediction
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the rheological characterization and constitutive modelling of molten unidirectionally reinforced thermoplastic composites. Position 1 – Ply and blank bending during hot press forming Wrinkling is one
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candidates to tackle the rheological characterization and constitutive modelling of molten unidirectionally reinforced thermoplastic composites. Position 1 – Ply and blank bending during hot press forming
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Vacancies PhD position on the design and fabrication of MEMS drag force-based flow and fluid composition sensors Key takeaways In this project, we will combine well-known thermal flow sensing
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fail to reach those most in need. To develop equitable and effective policy tools, further research is needed on the contexts, compositions, and mechanisms of retrofits, as well as a deeper understanding
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on the contexts, compositions, and mechanisms of retrofits, as well as a deeper understanding of the barriers preventing vulnerable communities from taking action. This PhD project proposes “grassroots retrofitting
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of methane dynamics in rapidly changing ecosystems and contribute to improving predictive models of future methane emissions. Field sampling will focus on regions where methane cycling is still poorly
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for the new green steels compositions, including impurities and tramp elements. These models should enable density-functional-theory (DFT) accurate large scale atomistic simulations of defects including
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described in the project overview. Owing to the current composition of the project team, there will be a mild preference for candidates opting for project 2 on “Models and machine learning”. An explanation
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such as calculating sample compositions, precise mixing using pipettes/scales, and handling instruments and equipment. You have a quantitative mindset with the ability to analyse data, make predictions, and