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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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- 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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Development (CED) intends to contribute to the research-based development of university science education. We acknowledge that it can be difficult to start as a PhD fellow and succeed in this field without a
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properties of skeletal muscle during static and dynamic contractions. The student will also participate in early-stage algorithmic work to model muscle architecture and behavior across contraction types. In
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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