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-of-the-art machine learning methods, acoustic sensing can provide valuable insight into a wide range of processes occurring within the built environment. Potential applications include structural health
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place great emphasis on a quality-conscious approach and on strong linguistic analytical ability, meaning that you can process text, theory, and research literature in a structured and reflective way. In
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analysis, especially peptide/protein identification or signal deconvolution, is desirable. Role Eligibility Requirements: Applicants must not have resided or carried out their main activity (work, studies
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coalescence under thermomechanical loading using scanning electron microscopy (SEM) and X-ray microtomography. Ultimately, the validated virtual laboratory will provide reliable predictive indicators and
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intervention procedures that can help reduce maintenance costs and increase circularity over the life cycle of a structure. The SURPASS solutions combine eco-efficient UHPFRC containing CO2-negative SCMs, bio
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-catenin pathway. The VASC-OPATH project proposes a translational strategy combining the analysis of paediatric samples with the functional validation of the identified molecular mechanisms in an innovative
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social media and online platforms. The project will use natural language processing (NLP), large language models (LLMs), and network analysis to identify coordinated harassment, anti-gender equality
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such as mechanistic, chemometric, deep learning, and physics-aware models. Improve robustness and reliability of the developed methods for deploying AI models in real environments utilizing augmentation
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main responsibilities will be shared between two main research activities (approximately 70%-30%): Large-Scale Survey Development & Data Analysis for Ex-Post Assessment: Develop and deploy a structured
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and bandwidth usage; iii) investigating how explainability and robustness can be maintained in compressed models deployed at the far edge, ensuring trustworthiness and reliability in real-world