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Sustainable Healthcare Decisions. About the project The fellowship period is 3 years and devoted to carrying out a project entitled “Reliable Bayesian prediction models with uncertainty quantification
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project focuses on environmental sustainability in grain storage, developing telemetric robotic sensing and predictive modelling to control mycotoxin (Ochratoxin A) risk while reducing postharvest drying
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preparation and testing or powder mixtures, and then to devise predictive models (possible using machine learning approaches) for the estimation of mixture properties from pure component propeties. The PhD
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to correct or account for these biases, and build predictive models that simulate biological responses to in silico perturbations such as genetic or pharmacological interventions. The project aims to advance
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing
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their application eligibility will be determined on a case-by-case basis. The start date is October 2026. Tidal stream power is a highly dense, predictable, renewable energy source. Following the successful operation
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Asia (SEA), focusing on Manila (Philippines) and Ho Chi Minh City (Vietnam). This position will be based at the School of Engineering at Newcastle University, focusing on developing models to predict AMR
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, separations, and energy storage, rely on liquids operating inside nanoporous materials. At this scale, liquids behave in unexpected ways that cannot be predicted from bulk properties, yet these effects often
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the mechanisms of sorption and diffusion; (iv) to establish relationships between molecular structure and adsorption properties; and finally (v) to combine experiments and simulations to predict the performance
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target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing on the glioblastoma infiltrative