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low-cost 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
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to 1) Object-attribute compositionality to replace exhaustive data requirements with structured concept learning, 2) Bias detection and machine unlearning to identify and mitigate bias and shortcuts
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on the design, fabrication, and characterisation of MEMS devices. The first project will focus on a new type of gas flow sensor that is based on the deformation of integrated mechanical structures due
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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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, 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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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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Vacancies PhD position in Simulation of Thermoplastic Composites Manufacturing for Aerospace Applications Key takeaways The PhD positions Press forming of thermoplastic composites Press forming is a
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the brain learns to deal with a larger social environment. The insights obtained from the research of Eveline Crone can help to structure education and society more effectively with a view to the
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flow batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery
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for differentiating effectful programs such as gradient estimation of probabilistic programs, implicit function differentiation, compositional Bayesian inference techniques); analyzing what is required (e.g., choice