22 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions at Newcastle University
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reservoir heterogeneity. This project will integrate core observations, wireline logs and seismic data to develop geological and petrophysical models that constrain reactive reservoir simulations
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heterogeneities and depositional facies on the distribution and extent of alteration processes. Develop a systematic workflow for integrating experimental observations and reactive transport modelling to construct
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Fully Funded PhD Position: Decoding Chromosome 1 Risk in AMD Using Stem Cell–Derived Retinal Models Host: Newcastle University (UNEW), UK Consortium: MSCA Innovative Training Network Pandora Start date
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heterogeneities and depositional facies on the distribution and extent of alteration processes. Develop a systematic workflow for integrating experimental observations and reactive transport modelling to construct
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biology approaches to identify transcriptional networks and signalling pathways controlling cardiovascular development. Using novel datasets generated from mouse models of congenital heart defects, the
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remains largely unexplored, creating an opportunity to unite data-driven and physics-based approaches across diverse UK hydrological regimes. This project will develop a national-scale flood mapping system
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testing methods and symptom severity affect diagnosis. Study how antibiotic use in the community relates to resistance. The student will develop models to identify high-risk areas and populations, helping
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biology approaches to identify transcriptional networks and signalling pathways controlling cardiovascular development. Using novel datasets generated from mouse models of congenital heart defects, the
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Award summary 100% home fees covered, and a minimum tax-free annual living allowance of £21,805 (2026-27 UKRI rates). Overview Artificial Intelligence (AI)-driven decision engines are increasingly
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demonstration of a DNA-based stack data structure and recent advances in optimisation for DNA nanotechnology, the project will design, model, implement, and experimentally validate novel molecular data structures