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-timescale optimization, and integrated Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation
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Aalborg University, Department of Energy, Campus Esbjerg, invites applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization
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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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. The project involves the development and modelling of hydraulic systems, with particular emphasis on energy-efficient system architectures and appropriate component selection. A key aspect is to incorporate
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ICT, Learning and Organizational Change or the continuing education programme in IT and Learning. Information about the academic content of the programmes is available here: https://www.aau.dk
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focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be designed and deployed efficiently
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In this PhD position, you will help design the next generation of circular plastics systems by combining hands-on polymer processing with data-driven modelling. The PhD study is a full-time, fixed
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, deterministic systems. You model them, you optimize them, you operate them. That paradigm is breaking down. As electricity replaces fossil fuels, industrial systems must operate under fundamentally new conditions
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as a change in how firms codify knowledge: prompts, models, workflows, and governance routines make some expertise executable while creating new burdens of evaluation, maintenance, and revision