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, reactive materials, biological systems, plasmas, and complex engineered processes are governed not only by differential equations, but also by geometric constraints, conservation laws, symmetries, and
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. Currently, conservative assessments of seismicity (i.e., predicting higher seismicity than likely to occur) are one reason for projects not passing the exploration stage, and seismic activity related to gas
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of the future and must be sustainably scaled up. However, seismicity is a major societal concern. Currently, conservative assessments of seismicity (i.e., predicting higher seismicity than likely to occur) are
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are governed not only by differential equations, but also by geometric constraints, conservation laws, symmetries, and interactions across multiple spatial and temporal scales. Developing mathematical
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deep learning that integrate physical constraints, symmetries and conservation laws. A central ambition is to connect these theories to concrete ACT projects and ESA use cases, such as autonomous
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well as evidence of experience working effectively and adaptively in mixed teams, interest in discovering evolutionarily conserved protein functions, and skill for synthesising complex findings for publication. As a