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Field
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gold standard of geo-analytic purposes and questions; collaborate with a technical assistant, another PhD candidate (on geodata source modelling), and a postdoc (on the GeoQA reasoning engine). It is
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factors that provided novel insights in this repair pathway (van Toorn et al., Molecular Cell, 2022, Geijer et al., Nature Cell Biology, 2021, Tresini et al. Nature, 2015, Schwertman et al. Nature Genetics
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research team, you will collaborate with other PhD candidates, postdocs, senior researchers from various Dutch universities, and in particular with the communication team of Ombion CPBT. Throughout this PhD
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real-world applications? Are you fascinated by how the local dynamics of nearest neighbour models can determine the macroscale behaviour of a system? Do you want to understand how matter self-organizes
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simulation techniques based on finite element and multibody dynamics formulations. Your tasks involve developing new elements tailored to the multi-physical effects seen in high-performance mechatronics
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drier with global warming. However, particularly in the vulnerable subtropical and mid-latitude regions, the state-of-the-art climate models produce simulations that differ not only in the magnitude, but
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modelling of materials and machine learning. Experience in atomistic modelling (molecular dynamics, density functional theory) and machine learning is important, as well as a strong interest in pursuing
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, you will focus on that. Your job In this PhD project, you will be part of a large consortium of six PhD candidates and three postdocs. Together, we aim to understand the working of storm surge barriers
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sea ice melting along these paths; performing numerical model simulations to explore how changes in winds, ocean temperatures, and other factors affect sea ice in the present and future. You will be
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advanced operational strategies, such as model-predictive control, tailored to dynamic prosumer energy demand. Foster collaboration: Work closely with industrial and research partners, including CENAERO