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system-level optimization and energy-management methods for coordinating electrolyzers with renewable generation, power conversion, storage, downstream processes, and hydrogen demand. Apply and evaluate
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is at risk and how timely digital interventions can support independent thinking. The position is a two-year role and funded by a DFF research project (‘Safeguarding Users’ Cognitive Autonomy in Human
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fracture processes at micro and meso scales influence the structural response at an engineering scale, and to use this insight to support the design of damage tolerant composite structures. You will be
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manufacturing, design for sustainability and robust design and optimization into your research. The position has a clear focus on computational approaches. You will use scientific and high-performance computing
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solutions that are relevant for the energy sector. In particular, you will be involved in the project MetNH3Energy, in the topic of Hydrogen storage and Transport using Ammonia and modelling in CFD on ammonia
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widely used as the working language in research and teaching, which makes it straightforward for international colleagues to integrate. We offer access to advanced laboratory and workshop facilities and an
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an international and interdisciplinary research environment with many opportunities for collaboration and knowledge sharing. English is widely used as the working language in research and teaching, which makes it
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or soon hereafter. Your work tasks The aim of the project is to optimize the production of pigments, which can be used as electrolytes in a battery for storing renewable energy. The work will include
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role in developing and implementing novel computational models within a boundary element framework, coupling the BEM with models for flow separation, viscous drag and cavitation. There is room to shape
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“Organizing Across Boundaries for Responsible Use of AI: Towards Interconnected Smart Grids in the Nordic Energy Sector” (ORBIT). The position will be affiliated with the ORBIT Consortium (described below) and