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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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, 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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-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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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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composites. Position 1 – Ply and blank bending during hot press forming Wrinkling is one of the primary process-induced defects in press-formed thermoplastic composite parts. Predicting wrinkling requires
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learning has strong potential for computer vision, from hyperbolic image segmentation [2] to hyperbolic tree embeddings [3] and hyperbolic vision-language models [4,5]. [1] Nickel, Maximillian, and Douwe
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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 models and
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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
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of the primary process-induced defects in press-formed thermoplastic composite parts. Predicting wrinkling requires accurate constitutive models for the bending behavior of molten reinforced thermoplastic plies