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for managing data related to built heritage, with the aim of integrating advanced information modeling and simulation features in the future, such as 3D visualization, Augmented/Virtual Reality (AR/VR), and
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electronic sensors, fitting it to physiochemical models to understand NP and surface interactions, and perform optimisations for sensing purposes; Perform sample preparation and isolation of NPs; Design and
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data exploration and processing; Knowledge of Generative AI models n mainly LLM's; Knowledge of satisfaction model analysis. Workplan and objectives to be achieved: The work plan aims at the development
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from academic degree recognition processes. Preferred factors: Knowledge of Machine and Deep Learning; Knowledge in data exploration and processing; Knowledge of Generative AI models n mainly LLM's
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numerical and physical modelling studies to assess the agitation, stability, overtopping and pressures on maritime structures in ports and coastal areas and to evaluate ship behaviour in ports. The impact of
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post-doctoral, or with a clear sight to completing PhD with the research competencies to match, registered clinician, healthcare, or care practitioner They have a strong track record in practice-research