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candidate in the exciting area of multiscale and multiphysics modelling of sustainable fibrous composites, with additional focus on uncertainty quantification and machine learning. Information The context
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-based wax composites that can be used in heat storage systems. Information Solving some of our major societal challenges related to climate, energy and sustainability will require a significant reduction
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We’re seeking for motivated candidates that are interested in developing computer models of the composite human neuro-muscular system that combine detailed musculoskeletal geometries, muscle-tendon
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knowledge into the training process, ReVision aims to break the dependency on uncontrolled large-scale datasets and enable broader, more transparent development of vision foundation models. About the PhD
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Description In this project, you will contribute to the development of a multimodal preclinical imaging platform, which you will then apply longitudinally to study skeletal muscle changes in a mouse model of
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, and single-asperity scratching. Correlate composition, process, and performance to establish structure-property-function relationships. Collaborate with Canon Production Printing to translate insights
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that require ultra low power operation. In both projects we will work closely together with experts in electronic circuit design to realize the electronic interfacing for the sensors, in case of the flow sensors
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PCM composites the RecyWax+ project combines multi-physics modelling approaches and physical experimentation of the thermal properties of the PCM composite. Throughout, theory is validated by synthesis
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-based wax composites that can be used in heat storage systems. Information Solving some of our major societal challenges related to climate, energy and sustainability will require a significant reduction
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variations in the chemical composition of the steel produced, which may affect the performance of the steels during processing and service. This is particularly true for stainless steels undergoing phase