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Field
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between predictive performance, computational efficiency and scalability, using high-performance and cloud computing environments. Depending on the agreed research direction, you may also explore hybrid
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to grouted BHEs, ii) the influence of minewater circulation on thermal efficiency and heat plume evolution; iii) predicting flow pathways in a real-world case study emulating a system with high throughflow
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doctoral candidate on the MSCA-DN DETECTIVE project. For rapid control of virus outbreaks, fast availability of antivirals is a major bottleneck. In DETECTIVE, innovative models will be used for setting up
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; develop or support modelling approaches that link experimental observations to predictive descriptions of the process; investigate the influence of operating conditions, gas composition, flow rate, pressure
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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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predicts something important? This project will uncover the neural circuits that transform visual information into dopamine signals that teach the brain about motivation, action and decision-making
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statistical approaches to characterise disease trajectories, develop risk prediction models, and identify factors associated with differential treatment outcomes. The findings will improve understanding of long
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Danfoss, you will combine thermofluid modelling, reduced-order multiphysics methods, and nonlinear rotor dynamics analysis to develop predictive modelling tools that support the industrial design of
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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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plant phenotyping, microbiome profiling, predictive modelling and targeted experimental validation to identify the microbial factors that make plants more resilient to disease. Your job You will join the