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21 Aug 2025 Job Information Organisation/Company University of Southern Denmark Department Department of Mathematics and Computer Science Research Field Computer science Researcher Profile First
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competences within computational modelling, optimization and integration of thermal energy storage technologies – such as large water pits and phase change material storage. You will work with colleagues, and
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application phases. This will involve toxicological testing (e.g., cytotoxicity, mutagenicity) and evaluating microplastic release and ecotoxicity using standardized and novel methods (in collaboration with a
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on the evolution of internal metal structures obtained via Dark-Field X-ray Microscopy (a synchrotron-based imaging technique), combined with phase field modeling predictions of the structural evolution
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- MicroAM” funded by the VILLUM FONDEN. The overall aim of the project is to introduce microstructural engineering to the field of additive manufacturing (AM) of metals. This is to set the stage
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systematic phases: first, establishing a robust data foundation; second, designing a modular and open digital platform; and third, developing a predictive maintenance application as a proof of concept
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sciences and advancing vaccine development. NIVI-R conducts scientific research, while NIVI-D works to quickly turn that research into new vaccine candidates. NIVI-D accelerates clinical trials (phases 1 and
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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to develop and implement continuum formulations of stress-based poro-damage dynamics and hydrofracturing, using new e.g. phase field methods. Models will be validate against date obtained from inverse
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new biological phenomenon, the formation of biomolecular condensates by liquid-liquid phase separation (LLPS), and how this emerging field can lead to entirely novel concepts to treat brain diseases