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Field
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
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? The analysis group of the Korteweg-de Vries Institute for Mathematics at the University of Amsterdam is inviting applications for a PhD position in stochastic dynamical systems. The position is part of
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framework to enable meta-analysis of multiple large biobank datasets, all of this with the aim of increasing our sensitivity to unravel the complex genetic causes of disease and, in so doing, identify new
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nature and industry are complex fluids, a heterogeneous mixture of at least two phases due to the presence of additives such as colloids, surfactants, and polymers. Examples include colloidal dye particles
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(with a strong mathematical focus) with above average grades Advanced knowledge in probability; expertise in random graphs, complex networks, hyperbolic geometry or topological data analysis is a plus
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(Huybrechts), Global Analysis (Mueller), Topology (Barthel, Bottman, Ozornova, Ray, Schwede), Geometric Topology (Avramidi, Stadler), Representation Theory (Stroppel) and Mathematical Physics (Klemm, Blohmann
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. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus
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the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health, green transition
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functions Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in mathematics or a related discipline. Good background knowledge in complex
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protocols. Proficiency in mathematical modelling, data analysis, and programming (Python, R, etc.). Experience with blockchain technologies and smart contracts is a plus. Excellent analytical, problem-solving