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Field
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strong background in CFD and/or DEM, A strong numerical background with proficient programming skills, Strong motivation, problem-solving skills, and the ability to work both independently and as part of a
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numerical modelling of weather systems and the climate system is essential, while some experience in coding is desirable. Entry Requirements At least UK equivalence Bachelors (Honours) 2:1. English
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, could also be used to underpin numerical models, quantifying the potential contributions of focal species to dispersal and/or reforestation at local, regional, or global scales. For further information
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of asphalt mixtures exposed to climate-induced stresses such as temperature fluctuations, moisture variations, and UV radiation. The study will involve both laboratory experiments and numerical modelling
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Learning heat: Physics-Informed Fourier Neural Operators for High-Fidelity Thermal NDE Modern non-destructive evaluation (NDE) increasingly relies on AI models that can reason with physics, scale
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design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
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to study grid stability, fault propagation, and recovery dynamics. Analyzing control and protection strategies using high-resolution time-domain models. Developing dynamic models for grid-forming and grid
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Simulation Framework The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational tools. Our group
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farms at relatively close proximity can be relevant when considering their annual energy production. This project will examine the uncertainty of various types of numerical models, from fast-computing
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-mechanical ( THM) model considering the climatic conditions to investigate feasibility and efficiency of the EG technology; (iii) (3) Develop THM numerical model to investigate the road damage mitigation