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the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36
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system models used for the design and safety assessment of complex systems. Where to apply Website https://phd.fbk.eu/calls/detail/failure-propagation-analysis-for-safety-assessm… Requirements Research
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to predictably control and exploit the drop for useful tasks. Aims: 1. Develop computational models to quantitatively predict the response of chemically active drops to the various physico-chemical stimuli
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research the dynamic processes of the Earth system. Our vision: “Taking the pulse of the Earth to safeguard a habitable planet.” For section 2.5 Geodynamic Modeling (department “Geophysics”), we are looking
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from animal hosts (are ‘zoonotic’), yet it is hard to predict which pathogen species are likely to cross into human populations and why. This project will combine AI Large Language Models, extracting
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. In this project we will study the functions of the rare coding variants using zebrafish and compare the results with mouse models of equivalent mutations and human post-mortem brain tissue
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Primary supervisor - Dr Thomas Anthony Haynes Pellet-clad interaction (PCI) is a complicated phenomenon, relatively poorly captured in current commercial fuel performance codes. Models have been
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design possible in which even the small details can be readily incorporated into the electromagnetic model for robust performance analysis? Information Antenna and RF systems play a pivotal role in society
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with ordinary facial movement. While many methods have been developed to recognise and localise micro-expressions, these results remain difficult to understand. The proposed models will be designed
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complex interactions between geology, fluid flow and water–rock reactions. Changes in pressure, temperature and fluid chemistry during production and reinjection can promote mineral dissolution and