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coating, iii) investigation of system design from small-scale to potentially pilot scale, and iv) application to micropollutant removal. Modelling aspects are open to exploration at molecular and process
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for delta adaptation and development under uncertain changing conditions? How can we sequence measures that are made in different regions, e.g. using modelling tools? What is the timing of decisions and what
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the formation rates or composition of a biominerals from known environmental conditions. This project aims to construct such a model. The ultimate goal is to create a general framework for predicting
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independently and with a team. You hold a Master's degree in Earth Sciences, Environmental Science, Marine Sciences or a related discipline by the time the position starts. Furthermore, you have: experience
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results with AI models and system simulations to create a digital twin of the PtX process for predictive optimization and scenario analysis. Funding This PhD position is generously funded through the Villum
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and have access to state-of-the-art industry experts, data and knowledge, allowing you to make an impact during your PhD research. In this position you will work with real world data and models, aimed
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26th May 2025 Languages English English English The Department of Structural Engineering has a vacancy for a PhD Candidate in Multiscale modelling of grain boundary failure in high-strength
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temperatures, typically below 1 Kelvin, to reduce thermal noise, enable superconductivity, maintain quantum coherence, and minimize environmental interference. Because of the size of the refrigeration systems
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the target of achieving perfect / good removal and selectivity. The list of contaminants will be expansive, from steroid hormone micropollutants to pesticides, pharmaceuticals, and fluorinated organic
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selection criteria You must have an academically relevant background within Civil / Environmental / Hydraulic Engineering, Computer Science, Applied Mathematics, or related areas. You must have a Master's