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process and interpret simulation data, develop the implementation of optimisation techniques and modelling approaches, and help identify the most receptive forcing modes in turbulent channel flow. Working
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2026. We recommend that you apply early as the advert may be removed before the deadline. The modelling of laser-material interactions is a complex multi-physics problem, very computationally intensive
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people but not others. Better ways to match prevention to the individual are needed. This PhD addresses one defined question: why some people with AF develop left atrial thrombus and embolic events while
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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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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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signal processing methods and a modelling environment, aided by unique hardware-in-the loop, to assess the detection and estimation algorithm performance and determine optimal multistatic configurations
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-enhanced) models for laser-material interaction, gas dynamics and phase change Implement GPU-efficient algorithms and meshing strategies for substantial speed-ups Validate against MTC laser drilling use
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challenges in agentic reasoning systems. Successful candidates will investigate novel approaches that use abstract interpretation, model checking, constraint programming, and fuzzing techniques to ensure
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of complex epidemiological and genetic data, in computational and population health sciences and in disease risk-modelling and risk-prediction. Eligibility criteria The project will suit students with strong