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related algebraic and analytic structures for the analysis and modelling of complex sequential data. Path signatures, originating in stochastic integration and rough path theory, provide expressive
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Degree Dr rer nat (Doctor of natural sciences) Course location Münster Teaching language English Languages Courses are held in English. Mode of study Less than 50% online Programme duration 6
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, Full Professor or equivalent. An extension arrangement applies to the post-PhD period. Who may submit a nomination? Members of the Royal Academy (KNAW) and The Young Academy, Full Professors
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along with their simulation results (e.g. FEM, CFD) start to “pile up”, rarely being ever used after they have served their purpose. These models can be also seen in the context of product life cycle, i.e
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emphasizes principled modeling, reproducible experimentation with open datasets and simulations, and publication-ready contributions targeting leading venues in machine learning and wireless communications
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knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient
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shipbuilding industry and develop frameworks and knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven
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emphasizes principled modeling, reproducible experimentation with open datasets and simulations, and publication-ready contributions targeting leading venues in machine learning and wireless communications
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image data and a combination of traditional material/imaging models and modern ML-based approaches; 3) Spectral library of painting materials over VNIR-SWIR-MWIR ranges Key exploitable results (KER): Open
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, invariants, staged rollouts, and rollback mechanisms so that automation remains within sanctioned boundaries. Underpinning both is the need for dependability models that, combined with telemetry-driven