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optimization, techno-economic assessment and model validation. The research will also examine the coordinated operation and control of Power-to-X processes, electrolysers and energy-storage systems in
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multi-fidelity modelling, your research will advance and integrate three core elements: (i) physics-based multi-fidelity structural models enabling high-resolution analysis at fatigue-prone hot-spots
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multi-fidelity modelling, your research will advance and integrate three core elements: (i) physics-based multi-fidelity structural models enabling high-resolution analysis at fatigue-prone hot-spots
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controlling electrochemical interfaces across scales. Computational PhD position: You will develop an AI-enhanced multiscale modelling framework combining density functional theory, ab initio molecular dynamics
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We are offering a PhD fellowship in “Agentic AI and Foundation Models for Global Pathogen Analysis” commencing September 1st, 2026, or as soon as possible thereafter. Our group and research
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at the interface of modelling, system design, and control engineering, contributing to the development of the next generation of intelligent, energy-efficient hydraulic systems. The position is offered in
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solution for the future of maritime decarbonisation. Your work tasks The research assistant will be involved in high-fidelity numerical modelling and a comprehensive analysis campaign of flexible power
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describing the changes in blood due to pre-analytical errors, and build mathematical models to describe these changes. This work can have real clinical and commercial impact, potentially resulting in digital
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, experimental, and modelling datasets related to physical oceanography, bentho-pelagic coupling, and carbon export. • Investigate the mechanisms controlling carbon export from surface waters to the deep ocean
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or energy-efficient mission execution. Similarly, advanced control algorithms depend on reliable sensor integration and accurate dynamic models of the vehicle and propulsion system. The PhD project will