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containing CO2-negative SCMs, bio-based self-healing, hybrid fiber architecture, Fe-SMA-based self-prestressing, and integrated structural health monitoring into one coherent system for thin, durable
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. Adapt to GNNs the interpretability tools created for large language models, such as sparse autoencoders, to locate the variables that the network represents internally in nodes and edges. Design causal
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shaped brain region, implicated in a wide range of functions. The cerebellar cortex, a thin layer of grey matter, is very tightly folded, resulting in a highly convoluted architecture. Its visualisation
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. The experimental setup combines thin source foils of 82-Se placed within a tracking chamber and surrounded by a calorimeter, enabling the unambiguous identification of the two electrons from double-beta decays
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been evolving towards architectures inspired by biological neural systems. In particular, neuromorphic photonics aims to develop artificial photonic neurons that process information through sparse, event
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are responsible for developing the rheometer cartridge, thin-film sensors as a reference technology, and methods for extracting material properties based on digital twins. Communicating research results through
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time. You will combine porous-material synthesis, thin-film preparation and in situ infrared spectroscopy to connect molecular reactions, peptide self-assembly and macroscopic sealing. Develop smart
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this PhD project, you will develop responsive MOF-peptide coatings for adaptive protection and follow their chemistry in real time. You will combine porous-material synthesis, thin-film preparation and in
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setups. Carry out thin-film deposition, lithography, etching, surface cleaning, sample mounting, device assembly, and related nanofabrication tasks under supervision. Perform electrical, optical
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surface science. The aim of the project is to develop ultra-thin transition metal membranes on porous graphene. The gas transport mechanisms, including energy barriers related to H2 diffusion and resistance