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leave the human supervisor with enough time to react and intervene efficiently when needed. Close cooperation is expected with the other Post Doc and PhDs in the interdisciplinary project. Your immediate
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of these phenomena, and how they affect the performance and operation of cells, using advanced mathematical modelling in the open-source simulation platform OpenFOAM. The main supervisor of the candidate will be Prof
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application process here. About the position The Department of Materials Science and Engineering (IMA) at the Natural Science Faculty, has a vacancy for a position as PhD candidate related to modelling
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. Perform numerical simulation to get insight of process. Develop hybrid shell–concrete (geopolymer) composites. Investigate carbonation routes to enhance CO₂ capture. Cooperate with other researchers
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security Semantic modelling of industrial artefacts, knowledge representation and automated reasoning Your supervisor will be Associate Professor Anna Olsen . Your immediate leader will be the Head of
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capabilities within the underwater domain, and to ensure that a unified modelling approach can operate across robot embodiments – air, ground, and marine. Achieving this requires new simulation tools, scalable
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Industrial cybersecurity, supply chain security Semantic modelling of industrial artefacts, knowledge representation and automated reasoning Your supervisor will be Associate Professor Andrei Lobov . Your
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– and building on recent advances in foundation models, neural model predictive control, and robotic world models – this PhD project will investigate principles and mechanisms for a shared autonomy
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cell walls, which have been implied in responses to the two parasites. We will also use the model species thale cress (Arabidopsis thaliana) as a resource to help identify the molecular mechanisms and
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use the model species thale cress (Arabidopsis thaliana) as a resource to help identify the molecular mechanisms and genes underlying responses to altered temperatures and parasite (co-)infection. We