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simple experiments to test and validate the developed architectures. Combine modelling and experimental results to understand how architecture influences the mechanical performance of the composites. You
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the composition of a structured database, that includes refining key performance indicators (KPI) and protocols across different academic disciplines. You will contribute to scientific publications
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— reconstruct, imagine, act, reward, monitor. These span robot learning (compositional world models and robot imitation learning, with an extended collaboration with Toyota Research), the QUVA 2.0 lab with
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expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer vision, yet their ability to acquire new expertise remains limited when training data is
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shape an ambitious research programme at the intersection of computer vision, machine learning, and foundation models. Research Focus The project investigates how visual foundation models can efficiently
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conversion efficiency. To successfully develop new luminescent absorber materials, it is crucial that you gain a fundamental understanding of the physical processes underlying their luminescence mechanism
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, where silicon solar cells have high conversion efficiency. To successfully develop new luminescent absorber materials, it is crucial that you gain a fundamental understanding of the physical processes
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that can serve as references for future studies, (ii) enhancing the understanding of physical mechanisms and causal pathways to strengthen attribution analyses and model development, build operationalized