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leads to persistent antigen exposure and altered adaptive immune priming. To address this, we have developed two novel engineered neoantigen models that enable precise dissection of antigen-specific
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hardware malfunctions. WP2 - Dynamic Validation Framework: This WP utilizes formal methods, specifically probabilistic model checking, to provide safety guarantees and verify AI behavior against constraints
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opportunity is based within the Resilience Engineering Research Group at Faculty of Engineering which conducts cutting edge research into developing modelling techniques to predict ways of improving the design
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9th March 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in Multi-market modelling of power systems with large amounts of wind power Apply
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and CH4) from headwaters, and use of machine learning and process-based model for large scale assessments and projections of the land-water carbon cycle to variation in climate conditions. The detailed
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mechanisms and kinetics to stabilize highly active but metastable surface motifs sustainable catalytic processes. Modeling Atomic Processes on Nanoparticles Develop atomistic models and machine-learning
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conditions corresponding to the natural geological environment to establish a model for the potential hydrogen resource in terms of volume and generation rate. Specifically, you will be responsible
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mechanistic process models with machine learning for accuracy, generalization, and interpretability. Uncertainty-aware AI: robust inference under noise, drift, and changing conditions; knowing when a model is
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, digestion models, dietary modelling, and conducting consumer surveys will form part of the Doctoral Network’s tasks. The 12 PhD candidates will be based across seven different universities in Europe: four in
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structural design, and lifecycle performance. A key outcome of FAST is the development of the FAST Virtual Lab, a digital framework combining experimental data, physics-based models, and data-driven methods