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Field
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models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics-based models that optimise and control pharmaceutical
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models and predictive tools to improve battery performance, lifetime and safety. RaRR is a new project commenced in WMG in October 2025, funded by EPSRC and HVMC, with a focus on second-life battery
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, wearable physiological sensing, and machine learning to uncover how factors like fatigue and cognitive workload impact technician performance. Join us to develop predictive models that predict human error
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new genomic tools and predictive models to understand ecosystem resilience, climate change impacts, and environmental health. In addition to advancing fundamental science, the initiative seeks
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. The programme will explore the biodiversity and biological adaptations of plants, animals and microorganisms to extreme mountain environments, while developing new genomic tools and predictive models
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to better understand and characterize variability of water at the land surface - i.e. in soils, snow and groundwater - to help in predictions of future water availability, global water cycle dynamics and sea
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goal is to understand and predict global climate change, and we strive to be at the forefront of climate and environmental research. In collaboration with national and international research communities
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contribute to the development of next-generation modelling frameworks that combine physics-based hydrodynamic modelling with artificial intelligence (AI) and data-driven methods to better predict contaminant
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algorithms for dynamic master selection, coordinating BESS, PV, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python
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traction motor noise and vibration in residential buildings, including conducting sound intensity and vibration measurements, analysing acousto-structural transmission paths, developing predictive models